Blame–Credit Apportionment Table¶
Apportionment artifact — instantiates Outcome Responsibility Attribution Calibration
Turns the separate per-agent findings into explicit proportional shares of credit and blame that sum to the whole — no scapegoat carrying all of it, no residue vanishing into 'the system.'
Blame–Credit Apportionment Table is the artifact that converts a set of per-agent findings into explicit proportions — this actor a large share, that team a moderate one, the vendor a slice, an unattributable remainder named as such. Its defining move is the closure constraint: the shares must sum to the whole, with nothing double-counted and nothing left in a vacuum. That single rule blocks the two opposite failures at once — a lone scapegoat forced to carry the entire hundred percent, and a diffuse fog in which everyone is "ten percent responsible" and no one is answerable. Where an attribution matrix scores each agent on their own, this table normalizes those scores into a closed division of credit and blame that a contract, a board, or a court can act on.
Example¶
A building finishes eight months late and the owner, the general contractor, and a steel subcontractor each blame the others. A delay-apportionment table assigns each identified cause of delay to a share of the eight months: the owner's late design changes (≈3 months, owner), the sub's fabrication rework (≈2.5 months, sub), unusually severe weather (≈1 month, excusable / no-fault), and a stretch where two causes ran concurrently (split by an agreed rule). The discipline is that the months must sum to eight, each assigned to a party or explicitly to no-fault. A three-way shouting match becomes a line-by-line, auditable division that the contract's liquidated-damages clause can actually price.
How it works¶
- Take the per-agent contribution and culpability findings produced upstream — it consumes them, it does not generate them.
- Apply a stated apportionment rule to convert findings into weights or shares.
- Partition shared and concurrent responsibility explicitly, and name the unattributable remainder rather than forcing it onto a person.
- Enforce closure: shares sum to the whole, nothing double-counted, nothing unassigned.
Tuning parameters¶
- Apportionment rule — equal split, proportional-to-contribution, or marginal / Shapley-style; the same facts yield very different shares under different rules, so the rule is declared first.
- Residual handling — whether the unattributable share is parked as "system / no-fault" or force-allocated onto agents; force-allocation removes the honest "nobody" but manufactures blame.
- Row granularity — one row per agent or one per cause; finer rows resist lumping but invite spurious precision.
- Credit / blame symmetry — whether positive contribution is apportioned by the same rule as blame; an asymmetry (blame spread thin while credit concentrates, or the reverse) is itself a red flag the table exposes.
When it helps, and when it misleads¶
Its strength is that it makes diffusion impossible to hide — the shares are forced to close — and it turns responsibility into something contestable line by line rather than a verdict pronounced on a person. The principled ideal for dividing shared credit is the Shapley value[n1], which gives each contributor the average marginal value they add across all orderings; the table is a practical approximation of that idea. Its failure modes: the numbers read as far more precise than the judgments beneath them, so a guessed 40% can launder into a hard fact, and the table is easily run backwards to reach a predetermined split. It also cannot create certainty its inputs lack — confident shares built on speculative attributions are precise nonsense. The discipline is to carry the confidence grades into the table, so a 40% marked speculative reads differently from a 40% marked established, and to treat the split as an argument, not a measurement.
How it implements the components¶
attribution_weighting_rule— the stated rule that converts per-agent findings into proportional weights is this component.collective_responsibility_partition— the closure constraint and the concurrent-cause split partition shared responsibility so it neither collapses onto one actor nor evaporates into the group.
It normalizes findings it does not produce: the per-agent dimensional scoring comes from Responsibility Attribution Matrix, the causal chain from Causal Contribution Timeline, the control judgments from Counterfactual Control Test, and the confidence grades from Attribution Uncertainty Label; the audit that no share silently vanished belongs to Responsibility Diffusion Check.
Related¶
- Instantiates: Outcome Responsibility Attribution Calibration — it is where per-agent readings become a closed proportional division.
- Consumes: Responsibility Attribution Matrix and Counterfactual Control Test (the per-agent readings), and Attribution Uncertainty Label (the confidence on each).
- Sibling mechanisms: Attribution Uncertainty Label · Responsibility Attribution Matrix · Responsibility Diffusion Check · Causal Contribution Timeline · Counterfactual Control Test · Just Culture Review · Scapegoat Screening Review · Role–Duty Mapping · Omission–Commission Parity Check · Outcome Responsibility Review Panel · Credit Contribution Register
Editorial Notes¶
Form Classification¶
Form family: Decision, Gate & Allocation
Rationale: Turns the separate per-agent findings into explicit proportional shares of credit and blame that sum to the whole — no scapegoat carrying all of it, no residue vanishing into 'the system.', making its operative form a bounded selection, routing, admission, or allocation among eligible alternatives.
Independent corroboration: The frozen evidence defines Blame–Credit Apportionment Table as 'Turns the separate per-agent findings into explicit proportional shares of credit and blame that sum to the whole — no scapegoat carrying all of it, no residue vanishing into 'the system.'', so its operative form is Decision, Gate & Allocation.
Review outcome: Independent reviewer agreement; high confidence.
Origin Attribution¶
Primary origin: Law & Governance
Origin pattern: Convergent development
Present-day reach: Multi-domain
Rationale: Legal doctrines of comparative fault and shared liability provide explicit proportional apportionment rules whose shares close to the whole.
Related originating lineages:
- Accounting & Auditing — Accounting and audit practice contributes the ledger, reconciliation, control, or financial-record discipline used here.
- Philosophy — Philosophy contributes the epistemic, logical, ethical, or conceptual distinctions on which this mechanism depends.
Review resolution: Law is the agreed primary lineage through comparative fault and proportional responsibility. Accounting supplies share closure and philosophy supplies distinctions among causal, moral, and controllable responsibility; the established apportionment logic is convergent rather than Encyclopedia-authored.
Attribution caveat: Legal blame shares and institutional credit allocation are related proportional-allocation traditions, not historically identical practices.
Review outcome: Reconciled after independent review; high confidence.
Notes¶
The table produces the partition; Responsibility Diffusion Check audits it from the other side, confirming that no material share quietly disappeared into "the process." They are complementary: the closure constraint is what gives the diffusion check something concrete to test.
[n1] The Shapley value, from cooperative game theory, is the unique rule assigning each contributor the average marginal value they add across every ordering of contributors — the standard formal ideal of a "fair share." Real apportionment only approximates it, under far less information. ↩