Normative Assumption Explicitness¶
Make value judgments and ought-claims explicit before treating them as neutral facts.
The Diagnostic Story¶
Symptom: A decision is presented as purely technical, evidence-based, or objective, yet stakeholders are surprised by the outcome and cannot locate their disagreement in any of the published inputs. Debate stays in the factual register while the actual conflict is about whose interests count, which risks are acceptable, and which tradeoffs are legitimate — questions that were settled silently inside the model or metric before anyone was asked.
Pivot: Convert implicit value premises into explicit, sourced, contestable, and revisable decision assumptions — separating empirical claims from normative ones, identifying affected parties, surfacing competing credible norms, and recording the accepted rationale alongside the conditions under which it should be reopened.
Resolution: Decision rationale becomes more honest; false neutrality decreases; stakeholder trust and the ability to contest decisions improves; and policies become more durable because the value choices inside them are visible and can be revised when context changes.
Reach for this when you hear…¶
[algorithmic hiring] “The model doesn't have a gender bias, the data does — and building the model from the data just laundered a value choice through a technical process.”
[public budgeting] “We kept calling it a neutral efficiency cut, but somebody had decided beforehand that parks matter less than road resurfacing — that's not a fact, that's a value.”
[clinical guidelines] “The guideline looks like it's just following the evidence, but the evidence only covers adults over fifty, and applying it to everyone is an unstated choice about who counts.”
When This Archetype Applies¶
Partial catalog groundingSome structural conditions are represented by existing abstractions, but no sufficient condition set is fully represented.
Diagnostic problem
A policy, model, metric, design, or decision is framed as objective, technical, natural, inevitable, or merely evidence-based while relying on unstated value judgments about what should count, which outcomes matter, whose interests matter, what risks are acceptable, and which tradeoffs are legitimate.
What this problem means
The structural problem is false neutrality. A system presents a decision as technical, objective, scientific, efficient, or evidence-based, but the decision depends on unstated assumptions about what should count, what should be optimized, what risks are acceptable, and whose outcomes matter.
Hidden normative assumptions create several predictable harms. They prevent affected parties from understanding why a decision was made. They shift value conflict into technical language. They make contestation look irrational because the real ought-claim is never named. They also make later revision difficult because no one knows which value premise the original decision depended on.
Show the applicability expression
Applicability expression4 distinct conditions
groundedpartly groundedopen
Equivalent to the 3 condition sets it replaces, with 2 duplicate condition cards removed.
1Required in every casenumbered 1–1
These hold no matter which pattern applies.
Load-bearing evaluative premise · open
An unstated evaluative premise is load-bearing in the ostensibly neutral decision artifact.
This condition preserves a load-bearing part of the diagnostic problem that was not captured by a source-condition atom. It remains explicit because omitting it would weaken the sufficient condition set.
3At least one of theselettered A–C
Any single one of these completes the pattern.
Claimed value neutrality · open
A decision is presented as value-neutral.
They also make later revision difficult because no one knows which value premise the original decision depended on. The narrower requirement in this condition set is: A decision is presented as value-neutral.
Success-defining metric · grounded
A metric or target defines what counts as success.
The source archetype describes the situation as follows: A metric or target defines success. The normalized requirement above isolates the load-bearing portion used in this condition set.
Values disguised as facts · open
Stakeholders' value disagreement is disguised as factual or technical disagreement.
The source archetype describes the situation as follows: Stakeholders disagree but the disagreement is disguised as factual or technical. The normalized requirement above isolates the load-bearing portion used in this condition set.
Other requirements and context (3)
Why these sit outside the expression
Supporting context — it may accompany or help interpret the situation, but it is not a load-bearing condition in a sufficient diagnostic set.
Application gate — it governs whether applying the archetype is appropriate or material, rather than defining the structural problem itself.
Supporting contextA rule affects rights, burdens, eligibility, or opportunity.
Use this archetype when a decision claims neutrality while allocating benefit, burden, risk, opportunity, credibility, attention, or protection. In this archetype, the relevant contextual consideration is: A rule affects rights, burdens, eligibility, or opportunity. It helps interpret the situation or strengthens the practical case for examining the archetype.
Application gateA model or process automates prioritization.
It is especially useful when a metric defines success, a model automates prioritization, a policy creates eligibility, or a design choice makes one value easy and another value costly. In this archetype, the relevant application gate is: A model or process automates prioritization. It narrows when choosing or applying the archetype is warranted or decision-relevant.
Supporting contextA governance decision needs public or organizational legitimacy.
Coverage
1 of 4 conditions grounded · 3 open.
Mechanisms / Implementations¶
- Value Audit: Reviews a policy, model, metric, or process to identify hidden value priorities, displaced alternatives, affected parties, and unsupported legitimacy claims.
- Ethical Impact Assessment: Captures foreseeable ethical consequences of applying or adapting a decision across contexts, including who benefits and who bears risk.
- Metric Value Review: Examines what a metric rewards, ignores, normalizes, or sacrifices, especially when the metric is treated as objective evidence of success.
- Policy Rationale Statement: Records the values, affected parties, evidence, alternatives, and reasons behind a policy or governance decision.
- Stakeholder Deliberation: Creates a forum where affected parties and decision makers can compare normative claims, contest assumptions, and clarify acceptable tradeoffs.
- Decision Record: Stores the chosen value assumptions, decision rationale, rejected alternatives, and review triggers so the decision remains accountable over time.
- Ethics Checklist: Prompts reviewers to ask value, harm, consent, fairness, transparency, and responsibility questions. It implements the archetype only when answers are recorded and contestable.
- Model Card Value Section: Adds explicit value assumptions, intended uses, excluded uses, affected groups, and evaluation priorities to technical documentation for AI or analytic systems.
- Values Statement: Names organizational or project values that can anchor later rationale. It is only a mechanism; the archetype requires linking those values to actual decision assumptions and tradeoffs.
Related Abstractions¶
Abstractions this archetype builds on — directly (a source ingredient) or as a related pattern. Links follow the typed catalog namespace.
Built directly on (2)
- Normativity: What ought to be.
- Procedural Fairness (Due Process): Due process.
Also references 8 related abstractions
- Consent: Voluntary agreement.
- Epistemic Justice: Fair knowledge production.
- Goal Congruence (Alignment): Alignment of objectives.
- Legitimacy: Accepted authority.
- Moral Relativism: Morality depends on context.
- Trade-offs: Balancing competing priorities.
- Transparency: Open processes.
- Virtue Ethics: Focus on character traits.
Variants¶
Narrower or domain-specific specializations that share this archetype's core structure. Recognized variants are established; candidate variants are provisional.
Metric Value Review · domain variant · recognized
A metric-focused variant that asks which values are embedded in what is measured, optimized, rewarded, or declared successful.
Policy Rationale Explicitness · governance variant · recognized
A governance-focused variant that requires policies to state the value premises and balancing judgments behind their rules.
Algorithmic Value Assumption Audit · domain variant · recognized
A technical-system variant that surfaces the normative choices embedded in datasets, labels, targets, thresholds, loss functions, deployment constraints, and evaluation priorities.
Objective Weighting Disclosure · governance variant · merge review
A weighting-focused variant that discloses how competing objectives are prioritized when a decision procedure combines them.
Editorial Notes¶
Problem Classification¶
Classification: Goal, Value & Purpose Misalignment → Normative Standard & Weighting Choice
Problem kernel: technical framing conceals contestable value assumptions
Rationale: Earliest causal condition: A policy, model, metric, design, or decision is framed as objective, technical, natural, inevitable, or merely evidence-based while relying on unstated value judgments about what should count, which outcomes matter, whose interests matter, what risks are acceptable, and which tradeoffs are legitimate.
Independent corroboration: The earliest necessary condition in the frozen evidence is: A policy, model, metric, design, or decision is framed as objective, technical, natural, inevitable, or merely evidence-based while relying on unstated value judgments about what should count, which outcomes matter, whose interests matter, what risks are acceptable, and which tradeoffs are legitimate. That is a normative standard and weighting choice problem because A supposedly technical criterion embeds contestable choices about fairness, error costs, stakeholder interests, time, risk, and objective weights.
Review outcome: Independent reviewer agreement; high confidence.