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Overdetermination

Version
v2 · 2026-09-01 · History
Prime #
1490
Origin domain
Philosophy
Also from
Medicine & Healthcare, Law & Governance
Aliases
Causal overdetermination, Redundant causation, Multiple sufficient causation
Related primes
Causality, causal sufficiency, preemption, Redundancy, underdetermination

Core Idea

Overdetermination is the causal pattern in which one effect has multiple actual causes or complete causal routes and each, under the relevant background conditions, would have been sufficient for the effect even without the others. The canonical symmetric case is two independently thrown objects striking a fragile target at the same time, where either impact alone would have produced the shattering. Because removing either one cause leaves the effect, a simple but-for test wrongly classifies neither as a cause. Counterfactual theories therefore use overdetermination as a central stress test rather than as an exotic naming convention.[1]

The load-bearing word is sufficient. Several contributory factors that must act together form one conjunctive sufficient cause, not several overdetermining causes. Several explanations of the same event are not automatically several producing routes. Several pieces of evidence that each establish a conclusion concern epistemic support, not causal generation. The abstraction requires an effect, at least two actual candidate routes, a background condition set, and a warrant that each route could complete production without the others.

Overdetermination is also distinct from preemption. In preemption, a backup process is poised to produce the effect but is cut off, disabled, or rendered causally idle by the process that arrives first. In symmetric overdetermination, the routes remain operative and neither defeats the other before the effect. Real cases can mix timing, interaction, and partial preemption, so the analyst must identify the process graph rather than infer the category from the presence of backup capacity alone.[2]

The pattern is substrate-neutral. Legal doctrine encounters independently sufficient concurrent causes; epidemiology represents several sufficient causal mechanisms that may be completed in one case; reliability models use multiple minimal cut sets or OR-gate inputs capable of producing one top event; and redundant control systems can receive several independently sufficient trip signals. In each domain, the causal semantics and proof standard differ, yet the structural question is the same: how many actual complete routes to this effect were present, and would each have remained sufficient under removal of the others?[3]

Historical uses in psychoanalysis, literary criticism, and social theory are included only when they preserve this core or explicitly announce a broader meaning. Freud often used overdetermination to say that a dream element is supported by several associative chains; later cultural theory used the word for multiple determinations operating at different levels. Those traditions matter to the term's history, but a reference Prime cannot treat every multilayered interpretation as causal redundant sufficiency. Their relation must be analyzed rather than assumed.

Structural Signature

  • Effect token. One bounded outcome or state transition is the explanandum; a vague class of outcomes cannot support token-level sufficiency claims.
  • Multiple actual routes. At least two candidate causes or complete causal mechanisms are present in the actual history, not merely possible backups.
  • Route completion. Each route includes whatever contributory conditions are needed to constitute a sufficient cause under the selected causal model.
  • Independent sufficiency. Holding the admissible background fixed and removing the other route, each candidate would still have produced the effect.
  • Redundancy under simple removal. The effect counterfactually survives deletion of any one overdetermining route, exposing the failure of an unqualified but-for test.
  • No decisive preemption. Neither route is rendered causally idle before it can contribute under the model used for the overdetermination claim.
  • Actual-cause status. The analysis distinguishes actual operative causes from merely available safeguards, threats, or alternative explanations.
  • Background conditions. Laws, enabling conditions, thresholds, and interaction assumptions are fixed explicitly because sufficiency is relative to them.
  • Granularity. The same history can look conjunctive or overdetermined when variables or mechanisms are grouped differently; the unit of a route must be justified.
  • Evidence and uncertainty. Observational, experimental, legal, or engineering evidence supports route presence and sufficiency with domain-appropriate confidence rather than by verbal stipulation.

What It Is Not

  • It is not mere causal multiplicity. Many effects have several jointly necessary contributors; overdetermination requires more than one sufficient route.
  • It is not a conjunctive sufficient cause. Oxygen, fuel, and ignition may jointly suffice for combustion while none alone does; this is one causal complex unless a second complete complex is present.
  • It is not preemption. A reserve cause that never becomes operative because an earlier cause prevents its completion is not symmetrically overdetermining the effect.
  • It is not backup capacity. A standby generator that would act after a failure is only a possible alternative until it participates in the actual history or the causal theory counts its route as actual.
  • It is not overfitting an explanation. Too many explanatory variables or narratives may be epistemically excessive without each being a sufficient cause.
  • It is not underdetermination. Underdetermination concerns evidence or premises insufficient to select among conclusions; overdetermination concerns excessive causal sufficiency for one effect.
  • It is not redundancy in general. Duplicated components, repeated records, or extra evidence need not form actual sufficient causal routes to one effect.
  • It is not double counting. Counting one influence twice is an accounting error; genuine overdetermination requires distinct causally relevant routes.
  • It is not determinism. A deterministic system can have one sufficient route, and an indeterministic model can represent several probability-raising causes without deterministic sufficiency.
  • It is not proof that each candidate had no interaction. Two sufficient routes may share background conditions or influence timing; the required independence is counterfactual sufficiency relative to the model, not universal physical isolation.

Broad Use

Philosophy of event causation. Symmetric overdetermination tests accounts that define causation by simple counterfactual dependence. If either of two actual impacts would have shattered a bottle, then the bottle would still shatter without the first and without the second. Ordinary but-for dependence disappears although causal judgment retains both impacts. Philosophical accounts respond through causal processes, structural equations, modified contingencies, degrees of responsibility, or other devices. The Prime does not choose one theory; it identifies the case structure every theory must classify.[1]

Legal concurrent causation. Tort and criminal reasoning can face two fires, pollutants, injuries, or independent acts when either would have produced the indivisible harm. Legal standards may replace strict but-for language with substantial-factor, multiple-sufficient-cause, or jurisdiction-specific tests. The doctrinal remedy is framed, but the substrate mapping is literal: one legally bounded harm, several actual routes, evidence of independent sufficiency, and a need to avoid letting redundant causation immunize every actor. Legal attribution, liability allocation, and damages remain additional normative questions rather than consequences of the Prime alone.[4]

Epidemiologic sufficient-component models. A sufficient cause can be represented as a complete set of component conditions capable of producing an outcome. A person may complete more than one sufficient causal mechanism before the observed event, especially where exposures, susceptibilities, and background conditions overlap. The model prevents the mistake of calling each component independently sufficient, while still allowing multiple completed causal pies to overdetermine one outcome. Population association, individual actual causation, prevention fractions, and mechanistic sufficiency remain distinct claims.[3]

Reliability and safety engineering. A fault tree can represent a top event reached through several minimal cut sets. If more than one complete cut set is actually realized and each would independently cause the top event, the failure is overdetermined at that modeling grain. An OR gate alone describes possible sufficient inputs; actual overdetermination additionally requires multiple inputs or complete routes to be present. This distinction matters when reconstructing incidents, assigning causal contribution, and deciding whether eliminating one route would have prevented the observed failure. The analysis remains high-level and defensive: it is about causal diagnosis, not instructions for inducing failures.

Redundant control and monitoring. A shutdown may be triggered simultaneously by independent temperature, pressure, and manual-trip channels, each sufficient under the control logic. Multiple asserted inputs can overdetermine the transition from running to stopped. By contrast, two sensors whose votes are jointly required by a two-out-of-three rule are components of one sufficient trigger unless another complete trigger route is also active. Modeling gate logic and actual signal history therefore decides whether redundancy becomes causal overdetermination.

Software and distributed systems. An identical state transition may be requested by independent controllers, duplicated messages, or concurrent recovery agents. If each request would be accepted and sufficient to produce the same idempotent transition, the realized transition can be overdetermined. If deduplication suppresses later requests before they execute, those messages are preempted or merely redundant inputs rather than multiple operative causes. Logs, ordering, idempotency semantics, and counterfactual replay are needed to distinguish these structures.

Biological regulation. Parallel pathways can each maintain a phenotype or trigger a response, but biological robustness alone does not establish actual overdetermination. Investigators must distinguish several components within one pathway, alternative pathways that are not simultaneously active, and multiple complete active routes. Intervention evidence can support sufficiency while compensation induced only after intervention can distort the natural-history counterfactual. The Prime organizes these questions without reducing biology to a firing-squad example.

Historical psychoanalytic and interpretive use. Freud's overdetermined dream elements were connected to several associative chains, and later theorists extended the idea to cultural and social formations. These uses may describe multiple determinations without the strict independently-sufficient-route criterion. A careful account therefore labels them historical or extended senses and asks which roles transfer. Multiple interpretive supports can be structurally related to redundancy yet need not be literal production causes.

Across all domains, three levels should stay separate. The first is structural recognition: multiple actual complete routes to one effect. The second is causal theory: what makes a route an actual cause despite failed but-for dependence. The third is action or responsibility: what intervention, attribution, or design consequence follows. Overdetermination fixes the first-level problem and constrains the others; it does not settle them by definition.

Clarity

A clear overdetermination claim starts with a causal diagram or mechanism narrative fine-grained enough to distinguish complete routes. It names the effect token, the time window, and the background conditions held fixed. It then asks of each candidate route whether the effect would occur if the other candidate routes were removed while the route and admissible background remained. Saying only that 'many factors caused it' is insufficient because the factors may be jointly necessary components of one route.

Sufficiency is model-relative, not a magical intrinsic label. A match can be sufficient for ignition only with fuel and oxygen present; a legal act can be sufficient under a doctrine's treatment of intervening events; a control signal can be sufficient only because the controller is powered and configured to honor it. Those background conditions should be exposed. If they are bundled into every route, shared dependence becomes visible instead of being misdescribed as complete independence.

The term actual also needs discipline. A backup that would have acted but did not is not automatically an actual cause. Structural-causal accounts differ over when active processes, omissions, and preempted backups qualify. The reference abstraction retains that theoretical dispute but requires the author to state the criterion. It never converts the mere availability of alternatives into overdetermination.

Evidence must match the claim. Temporal co-occurrence shows that routes were present, not that each was sufficient. Intervention can test sufficiency but may alter background conditions. Engineering simulation can explore counterfactual removal but inherits model error. Legal fact-finding uses standards of proof and policy doctrines in addition to physical causation. A report should attach confidence and alternative models rather than presenting a verbal counterfactual as directly observed.

Manages Complexity

Causal histories can contain hundreds of contributing conditions. Overdetermination compresses them into complete-route structure. Instead of asking whether every factor is necessary, the analyst identifies minimal or otherwise justified sufficient sets, determines which were actually completed, and tests whether more than one reaches the same effect. This turns an undifferentiated list of causes into a route map with explicit redundancy.

The route map localizes intervention questions. Removing one component blocks every route that contains it; removing one route leaves the effect if another complete route remains. A prevention analysis can therefore distinguish causes that are individually unnecessary in the actual case from interventions that target a shared background condition and block all routes. This is why but-for failure does not imply practical irrelevance.

The abstraction also prevents false exoneration. If each independently sufficient cause were dismissed because the effect would occur without it, a redundant causal system would appear causeless. Conversely, labeling every contributing factor sufficient inflates attribution. Overdetermination supplies the middle discipline: complete routes count, components are typed within routes, and competing causal theories can be compared against one conserved representation.

Granularity is the main compression hazard. One model might treat two bullets as separate causes; another treats the simultaneous impacts as one compound event. One fault tree might separate common power loss from subsystem faults; another hides it in every cut set. Analysts should vary the partition and ask whether independent sufficiency is robust. A result that disappears under every reasonable refinement is probably an artifact of representation.

Uncertainty should remain visible. There may be high confidence that two processes occurred but low confidence that either alone crossed the effect threshold. Probabilistic sufficiency, causal contribution, and deterministic sufficiency are different models. Overdetermination manages complexity by exposing those choices, not by forcing every stochastic system into binary deterministic logic.

Abstract Reasoning

  1. Bound the effect. Specify one outcome token, its time, system boundary, and state-transition criterion rather than a broad outcome class.
  2. Enumerate candidate processes. Identify actual process traces and distinguish them from possible backups, correlated indicators, and explanatory descriptions.
  3. Build complete routes. Add the background and conjunctive components needed for each candidate to constitute a sufficient causal mechanism.
  4. Test individual sufficiency. Under the declared model, remove the other routes while retaining admissible background conditions and determine whether the effect still occurs.
  5. Test actuality. Verify that each route was operative in the actual history rather than preempted, disabled, or merely waiting.
  6. Distinguish symmetry from preemption. Examine timing and interaction to see whether one route completed or neutralized the other before the effect.
  7. Audit common causes. Check whether apparently independent routes are correlated outputs of one upstream cause and whether that changes the appropriate causal grain.
  8. Vary granularity. Re-express the model with plausible component and route boundaries to detect representational overdetermination.
  9. Separate causation from attribution. After recognizing the structure, apply the domain's distinct rules for explanation, responsibility, prevention, or design.
  10. Record uncertainty. Attach evidential confidence to route presence, sufficiency, independence, timing, and the stability of the background conditions.

Knowledge Transfer

Transfer proceeds through a five-column ledger. The first column names the effect: shattering, legally recognized injury, disease onset, a safety top event, or a state transition. The second lists actual complete routes. The third states shared background conditions. The fourth records the counterfactual removal test for each route. The fifth records any preemption or interaction. A cross-domain use is literal only when all five columns can be filled without metaphor.

In philosophy, the routes may be physical processes; in epidemiology, completed sufficient-component mechanisms; in fault trees, realized minimal cut sets; in control systems, accepted trigger paths; in law, concurrent acts linked to one indivisible harm. The carrier nouns change, but the operations do not. Each use partitions conditions into routes, tests route-level sufficiency, retains multiple actual routes, and observes that simple removal of any one leaves the effect.

Counterexamples transfer too. Jointly necessary components are not multiple routes. A backup interrupted before completion is preemption. Multiple observations supporting one hypothesis are epistemic redundancy. A common upstream process producing several traces may be one cause at the relevant grain. These counterexamples keep the Prime narrower than generic multiplicity and generic redundancy.

Intervention reasoning transfers with care. If eliminating route A leaves route B, the effect remains; if eliminating shared background C disables both, the effect may be prevented. The intervention target with highest leverage need not be any independently sufficient trigger. This explains why causal necessity in the actual case and prevention utility do not coincide.

Responsibility does not transfer mechanically. Legal liability, moral blame, engineering accountability, and biological explanation use different normative or epistemic rules. The Prime licenses the structural statement that redundant sufficiency defeats a naive but-for test. It does not prescribe how blame or resources must be divided.

Historical interpretive uses require a stricter gate. If 'overdetermined meaning' only says that a symbol admits several readings, the effect and causal sufficiency roles are missing and the usage is an extension. If several actual generative processes each suffice to stabilize one interpretation or cultural outcome, the causal core may be present. Naming the mapping prevents disciplinary prestige from substituting for structural equivalence.

Examples

  1. Symmetric physical case. Two independently launched objects strike a fragile bottle at the same moment. Process evidence shows that either impact at its actual speed and angle would shatter the bottle under the same background conditions. Neither blocks the other. The shattering is overdetermined: removing either impact leaves a complete actual route. A simple but-for test fails for both, illustrating why the case is used to evaluate theories of causation.
  2. Conjunctive non-example. A fire requires fuel, oxygen, and an ignition source. All are present and the fire occurs. None alone is sufficient; they are components of one sufficient causal complex. Calling the fire triply overdetermined confuses number of contributors with number of complete routes. A second independent complete ignition-and-fuel route would need to be demonstrated before the label applies.
  3. Preemption non-example. A primary controller issues a shutdown and immediately disables the backup controller's output. The backup was prepared to act but never delivers a causally effective signal. The actual shutdown is caused by the primary route; the backup is preempted. If both signals reached independent accepted inputs before shutdown, the case could instead be overdetermined.
  4. Legal concurrent-cause case. Two independently started fires merge before reaching one property, and evidence supports that either would have destroyed it. Physical redundant sufficiency is present. Whether each actor is legally liable, what causal test replaces but-for analysis, and how damages are allocated depend on jurisdictional doctrine and are not encoded by the Prime.
  5. Epidemiologic sufficient-component case. A case occurs in a person for whom two different sufficient-component mechanisms were both completed by the relevant time. The model represents redundant causal completion, but evidence may not reveal token-level completion directly. Population associations, mechanistic studies, and counterfactual assumptions must therefore be separated from the structural representation.
  6. Safety fault-tree case. A top event can be caused either by complete cut set A or complete cut set B. Incident evidence shows both sets were realized before the top event. Each route is sufficient under the validated model, so the failure is overdetermined at that grain. The defensive lesson is that repairing only one route would not have prevented this event; operational details of how to induce either failure are outside the abstraction.
  7. Redundant trip case. Independent protective channels detect distinct hazardous observables and simultaneously request the same safe-state transition. Either request would have been honored. The transition is causally overdetermined, while the design redundancy may be desirable. Overdetermination describes route structure and does not imply malfunction or waste.
  8. Idempotent software case. Two independent recovery agents submit the same idempotent state-change request, and logs show both are accepted before the state settles. Each accepted route would suffice under replay. If the service deduplicates the second request before execution, only the first route is actual and the second is preempted. Event ordering and semantics, not duplicate text, decide the case.
  9. Common-cause caution. Two sensors alarm because one upstream wiring fault drives both. Treating the alarm records as two independent sufficient causes mistakes effects of a shared cause for causal routes to the shutdown. The model should include the common source and the controller logic before deciding whether the shutdown was overdetermined.
  10. Interpretive extension. A dream image has several associative links in a psychoanalytic reading. This is historically called overdetermination, but the links may be mutually reinforcing interpretations rather than independently sufficient producing causes. The reference entry preserves the history while labeling the looser mapping unless a causal route analysis is supplied.

Structural Tensions

  • T1: Necessity versus causality. Each route is unnecessary under simple removal although causal judgment may count all. Diagnostic: compare but-for dependence with an independently supported process or structural-cause test.
  • T2: Route versus component. Factors inside one sufficient complex can be mistaken for several sufficient causes. Diagnostic: complete the background conditions for each proposed route and test it alone.
  • T3: Overdetermination versus preemption. A backup can be sufficient in principle but causally idle in the actual sequence. Diagnostic: reconstruct timing and ask whether the backup completed before being blocked.
  • T4: Independence versus shared background. Routes can share enabling conditions without being the same route. Diagnostic: expose shared conditions and test whether each route remains complete when the other route is removed.
  • T5: Actual sufficiency versus probabilistic contribution. Several causes may each raise risk without guaranteeing the effect. Diagnostic: state whether sufficiency is deterministic, probabilistic, legal, or model-relative.
  • T6: Physical causation versus responsibility. Redundant sufficiency defeats exoneration by but-for logic but does not determine blame shares. Diagnostic: separate causal structure from the normative allocation rule.
  • T7: Robust structure versus model grain. Grouping or splitting events can create or erase apparent routes. Diagnostic: test the verdict under multiple justified granularities.
  • T8: Defensive redundancy versus unwanted excess. Multiple sufficient protective triggers can be intentionally valuable. Diagnostic: ask whether the evaluation concerns causal multiplicity, reliability benefit, or resource duplication.
  • T9: Historical breadth versus Prime identity. Psychoanalytic and literary uses may mean multiple interpretation rather than sufficient causation. Diagnostic: map effect, actual routes, and sufficiency or mark the use as an extension.
  • T10: Autonomy versus Causality plus Redundancy. Causality supplies production and Redundancy supplies replaceability, but neither alone requires multiple actual sufficient causes of one effect. Diagnostic: remove the independent-sufficiency condition and test whether the distinctive but-for failure disappears.

Structural–Framed Character

Overdetermination sits at the pure structural pole of the structural–framed spectrum — unanimous zeros across all five criteria, a slightly surprising verdict for a prime coined in analytic philosophy, and instructive for exactly that reason. What the name marks is a worldly causal pattern: one effect token with two or more actual, independently sufficient causal routes to it. Two rocks striking one window at once; redundant tripwires each sufficient to fire; parallel signaling pathways each adequate to trigger the response.

The philosophical coinage does not make the pattern philosophical. It is statable in generic causal vocabulary — cause, effect, sufficiency, route — with no home-discipline lexicon in tow. It is evaluatively neutral: redundant sufficiency is a liability for the counterfactual analyst and an asset for the reliability engineer, and the definition takes no side. Its origin lies in the formal, counterfactual analysis of causation rather than in any institution-facing subject matter, and the pattern obtains in fully natural systems with no agents anywhere in view. Application is recognition: one inspects the causal history and finds the redundancy already there. The grade is a reminder that where a concept was named and where its pattern lives can be two different places.

Substrate Independence

The Prime bar requires literal role recurrence beyond philosophy. In concurrent legal causation, the effect is an indivisible harm, routes are independently sufficient acts, and the removal test explains why strict but-for doctrine can fail. In sufficient-component epidemiology, the effect is an outcome and routes are completed causal mechanisms. In reliability analysis, the effect is a top event and routes are realized cut sets. In control systems, the effect is a state transition and routes are accepted independent trigger channels.

The same operations apply in each substrate. Analysts bound one effect, enumerate actual routes, complete each route with background conditions, remove competing routes in a counterfactual model, inspect timing for preemption, and retain causal-theory uncertainty. Counterexamples also preserve their form: jointly necessary components, inactive backups, correlated indicators, and multiple descriptions fail the test everywhere.

What does not transfer is the substantive evidence or normative consequence. A philosopher may rely on intuition and process theories; a court on admissible evidence and doctrine; an epidemiologist on population studies and mechanistic assumptions; an engineer on a validated fault model and logs. These differences belong to framing and warrant, not to the causal skeleton.

The candidate is not reducible to accepted Causality. Generic causality allows one cause, conjunctive causes, probabilistic causes, and chains with no redundancy. It is not reducible to Redundancy either, because duplicated storage or spare capacity need not causally produce an effect. Overdetermination occupies their nontrivial intersection plus actuality and independent sufficiency: redundant causal routes simultaneously present for one outcome.

The pattern is therefore portable without being universal. It should be instantiated only when the domain can support route-level sufficiency. Broad talk of 'many influences,' 'many meanings,' or 'multiple factors' remains outside the Prime until those roles are supplied. This strong exclusion rule is what allows substrate independence without semantic dilution.

Relationships to Other Abstractions

Local relationship map for OverdeterminationParents appear above the current abstraction, mutual partners to the right, and children below. Node labels state whether each abstraction is prime or domain-specific; colors identify relation types.OverdeterminationPRIMEPrime abstraction: Causality — is a kind ofCausalityPRIME

Current abstraction Overdetermination Prime

Parents (1) — more general patterns this builds on

  • Overdetermination is a kind of Causality Prime

    The accepted reference-grade review places Overdetermination under Causality because the child instantiates or depends on the parent's broader structure while retaining its own constitutive identity.

Hierarchy path (1) — routes to 1 parentless root

Neighborhood in Abstraction Space

Overdetermination sits in a sparse region of abstraction space (79th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely rather than landing on a neighbor.

Family — Trajectories, Thresholds & Path Dependence (39 primes)

Nearest neighbors

Computed from structural-signature embeddings · 2026-09-10

Not to Be Confused With

  • Underdetermination. Evidence or premises leave several conclusions open; it is not excessive causal sufficiency for one effect.
  • Preemption. A backup route is prevented from becoming an actual cause by an earlier or dominant route.
  • Conjunctive causation. Several components are jointly necessary parts of one sufficient causal complex.
  • Redundancy. Duplicated capacity or information need not constitute multiple actual causal routes.
  • Multiple realizability. A type can be realized in different substrates across cases without several realizers causing the same token effect in one case.
  • Causal sufficiency. One set of conditions may suffice; overdetermination requires multiple actual sufficient sets.
  • Common cause. One upstream cause can generate several correlated traces that are not independent causes of the downstream effect.
  • Joint causation. The phrase may include either conjunctive or overdetermining structures and needs decomposition.
  • Overfitting. Excess explanatory parameters concern model generalization rather than causal route sufficiency.
  • Double counting. Repeating one contribution in an account is an error, not genuine multiple causation.

The prospective workspace queue contains one strict upward edge to prime:causality. No live DAG mutation is authorized.

Solution Archetypes

No catalogued solution archetypes reference this prime yet.

References

[1] Lewis, D. (1973). ‘Causation.’ Journal of Philosophy 70(17), 556–567. https://doi.org/10.2307/2025310 registry ↩a ↩b

[2] Schaffer, J. (2003). ‘Overdetermining Causes.’ Philosophical Studies 114, 23–45. https://doi.org/10.1023/A:1024497713768 registry

[3] Rothman, K. J. (1976). ‘Causes.’ American Journal of Epidemiology 104(6), 587–592. https://doi.org/10.1093/oxfordjournals.aje.a112335 registry ↩a ↩b

[4] Hart, H. L. A., and Honoré, T. (1985). Causation in the Law, 2nd ed. Oxford University Press. ISBN 978-0-19-825474-4. registry