Future scalar-score authorization gate
Status: Research proposal / not authorized
v0.1 global human score: Prohibited
This document contains a score formula or score: No
1. Position
The current prohibition on a single global human score is both a governance rule and a scientifically appropriate boundary for the evidence available today. Governance could choose to study a scalar in a later release, but it cannot make the scalar valid by voting to remove the prohibition.
A future scalar would be a new score interpretation and use. It changes what the benchmark claims about a person, how evidence is aggregated, which weaknesses can be hidden, how uncertainty is communicated, and how downstream decisions may be made. It therefore requires a new benchmark release and a fresh validity and consequence argument.
2. Non-negotiable separation
Even if a scalar is later supported, it must not replace:
- the Verified Production Record;
- the multidimensional Capability Profile;
- visible confidence, coverage, maturity, verification, recency, contradiction, and critical-gate states;
- the Insufficient Evidence state; or
- the independent credential-tier decision.
A scalar would be an optional, purpose-bound projection. It would not be an intrinsic property of a human.
3. Staged gate receipts
The machine contract separates three sequential stages so the final decision cannot become a circular prerequisite for review readiness:
- thirteen evidence-readiness receipts must be satisfied before the candidate can become eligible for independent method review;
- an independent-method-review receipt and outcome determine whether the candidate may proceed to a governance release decision; and
- a separate governance-decision receipt records the final decision only after method review.
Each property is bound to a named receipt identifier and evidence-artifact
type. A satisfied state also requires an assigned review-authority class, the
artifact digest, review time, and a matched SHA-256 verification record. A
document title or an unverified digest is not sufficient. These machine fields
are necessary but not sufficient: an operational gate would still have to
verify the artifact against its external store and the reviewer against an
authorized, versioned authority registry. The proposal JSON cannot attest its
own trustworthiness.
| Stage | Gate | Minimum evidence question |
|---|---|---|
| Evidence readiness | Construct and intended use | What exact interpretation and decision use is proposed, for whom, in what context, and with what prohibited uses? |
| Evidence readiness | Job analysis and content blueprint | Does the assessed work represent important FDE activities and link tasks, observations, and rubrics to the construct? |
| Evidence readiness | Dimensionality and aggregation | Do the data support the proposed aggregation? What information and critical weaknesses does it conceal? Are weights empirically and substantively defensible? |
| Evidence readiness | Calibration and sample adequacy | Are samples large, relevant, diverse, and independent enough for each claimed interpretation? Was the analysis plan prespecified? |
| Evidence readiness | Reliability, precision, and uncertainty | Are results sufficiently stable across tasks, raters, occasions, and forms for the stated use? Are conditional uncertainty and decision consistency reported? |
| Evidence readiness | Standard setting for any tier | Were cut points set through a documented method by qualified, non-conflicted experts, with sensitivity and classification-error analysis? |
| Evidence readiness | Fairness, accessibility, and accommodations | Does the process measure the intended construct across relevant groups and accessible paths without avoidable construct-irrelevant barriers? |
| Evidence readiness | Criterion and outcome linkage | Does the proposed interpretation relate to independently defined field outcomes in the claimed context, without confusing association with causation? |
| Evidence readiness | Consequences, adverse impact, and alternatives | What beneficial and harmful consequences occur, what decision errors matter, and are less adverse valid alternatives available? |
| Evidence readiness | Rater and evaluator quality | Are raters qualified and calibrated, drift controlled, model assistance bounded, and adjudication quality measured? |
| Evidence readiness | Security, contamination, and reproducibility | Are controlled cases, leakage, identity, artifact integrity, replay, and deterministic recomputation adequately protected and tested? |
| Evidence readiness | Privacy and legal-use review | Are purpose, consent, disclosure, retention, data rights, jurisdiction, and proposed employment uses reviewed by qualified owners? |
| Evidence readiness | Correction, appeal, revocation, and monitoring | Can factual and measurement errors be corrected, decisions appealed, credentials changed, and drift or harm detected after release? |
| Independent review | Independent external method review | Have reviewers with relevant measurement, domain, accessibility, security, and affected-party expertise evaluated the complete evidence package? |
| Final decision | Governance release decision | Has the authorized, non-conflicted body approved the exact immutable release, interpretation, use, limits, and monitoring plan? |
4. Evidence standards for aggregation
Before studying a scalar, the research program must predeclare:
- whether the proposed construct is reflective, formative, hierarchical, or a decision index;
- why aggregation is more faithful to the intended interpretation than a profile alone;
- which dimensions are non-compensatory critical floors;
- how weights are derived, reviewed, and stress-tested;
- how missingness, not-applicable scope, recency, contradictions, and low coverage are handled;
- the estimand and uncertainty method;
- the target population, role profile, and administration conditions;
- the minimum precision and decision-consistency criteria; and
- the material changes that force recalibration or a new release.
Good fit statistics cannot substitute for a defensible construct. Expert weights cannot substitute for empirical study. Predictive association cannot by itself justify a consequential employment use.
5. Research sequence
- Profile first. Demonstrate that the domain and competency measurements are interpretable, sufficiently reliable, and useful without a scalar.
- Pre-register scalar candidates. Specify alternative aggregation models, estimands, weights, critical floors, exclusions, and falsification criteria.
- Use independent calibration data. Do not choose a model and report its apparent performance on the same sample.
- Compare against profile-only decisions. Measure information loss, decision consistency, subgroup behavior, and whether the scalar changes decisions in defensible ways.
- Run sensitivity and consequence studies. Vary weights, missingness, uncertainty, cut points, and role contexts; record who is helped or harmed and why.
- Conduct external adversarial review. Publish the interpretation-and-use argument, evidence map, known rebuttals, limitations, and independent review disposition.
- Record a separate governance decision. Independent review readiness and completion must not depend on a decision that has not yet occurred.
- Authorize through a new release only. A proposal, feature flag, schema pass, or software deployment cannot activate a score.
6. Tier relationship
A scalar and a tier are separate decisions. A scalar may exist without a tier; a tier may be based on noncompensatory profile rules rather than a scalar. Whenever a tier is proposed, its standard-setting, classification-error, fairness, consequence, and lifecycle gates remain mandatory.
7. Proposal contract behavior
scalar-score-authorization-gate.schema.json
records 13 property-bound evidence-readiness receipts, an independent review
receipt and outcome, a later governance-decision receipt and outcome, and a
staged research-review disposition. The relational gate verifies that a
satisfied receipt's expected, observed, and bound artifact digests match and
that its review state is consistent with the stage. The proposal always sets:
official_scalar_score_authorized: false;scalar_score_present: false;proposal_can_self_activate: false; andv0_1_global_score_prohibition_preserved: true.
Satisfying the 13 readiness receipts may reach only
eligible_for_independent_method_review; it does not require or imply a final
governance decision. A passing independent review may then reach
eligible_for_governance_release_decision. Even a recorded governance decision
cannot activate a scalar through this proposal because the authority fields
remain false and no normative release artifact can be present. A later
normative release—not this proposal—would be required to carry authorization.
