TENX ARENA is designed as a structured work sample, not an interview chatbot or a universal score. The current instrument connects a small versioned occupational subset and a fictional employer brief to scenario opportunities, accepted typed events, artifacts, rubric indicators, and bounded claims. Each event retains its server-measurement, client-report, or deterministic-fixture basis. That chain is a design hypothesis awaiting independent job analysis and subject matter expert evidence.
TENX doctrine source statusThe governing TENX_Human_AI_Systems_Master_FA.html doctrine is bundled and versioned with this instrument. Its formulas for synergy, regret, causal effects, optimization, marginal candidate value, and configuration fit remain inactive until the required observations and validation evidence exist.
Traceability chain
From real work to a reviewable claim
01Critical workRole evidence and employer confirmation
02OpportunityBranch, object availability, workspace access-path report, delivery, object render, response, timing, and accommodation kept separate
03Observable actionDecision, check, delegation, or artifact
04Rubric indicatorScenario specific behavioral anchor
05Evidence claimScoped statement with limits and unknowns
Mixed systems stay explicit
Actual humans, candidates, configured collaborator roles, simulated human roles, and software tools are separate actor kinds. The present package uses deterministic scripted outputs, not a live model. Communication, access, authority, approval, and delegation remain separate relations.
Challenge states stay separate
The taxonomy separates a legitimate disturbance from fault injection, exposure, corrupted state, failure, discrepancy classification, containment, correction, verification, residual harm, recurrence, and adaptation. Northstar establishes only injection, exposure, a frozen oracle match for an exact accepted source-comparison request, containment, a correction-action record, and a narrow recovery-oracle check. The comparison result does not establish participant recognition or comprehension; the other stages remain inactive or unknown.
Reports preserve uncertainty
Observed, measured, derived, interpreted, and unknown are never collapsed. One episode does not become a personality claim or proof of future performance.
People make the decision
Measurement, recommendation, and the employment decision remain separate. Hard constraints do not disappear inside a weighted average.
Source registry
Every source has a permitted use.
Versions and limits are first class data. Sources are not blended into an unsupported claim of scientific certainty.
O*NET DatabaseUSDOL/ETA
31.0 / Aug 2026
SupportsThe bundled subset contains three occupation records and eight exact task statements
Does not supportOther role fields are design hypotheses. The subset does not prove employer relevance or scenario validity
Ingested subset
ESCO ClassificationEuropean Commission
1.2.1 / Dec 2025
SupportsMultilingual occupation and skill vocabulary with stable identifiers
Does not supportDoes not provide task importance or employer specific work evidence
Registry only
SIOP PrinciplesSociety for Industrial and Organizational Psychology
5th edition / 2018
SupportsJob linkage, validation, reliability, fairness, documentation, and intended use
Does not supportProfessional guidance, not product validation or legal clearance
Design basis
NIST AI RMFNIST
1.0 / 2023
SupportsGovern, map, measure, and manage controls for AI risk
Does not supportVoluntary guidance, not evidence of hiring validity or compliance
Governance basis
This product includes a transformed subset of the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration, used under CC BY 4.0. USDOL/ETA has not approved, endorsed, or tested TENX ARENA.
Validation ladder
No generic validated badge.
Evidence attaches to a specific interpretation, use, role, population, version, and decision context.
Source subset registeredThree occupation records and eight task statements are versioned
2
Job linked and SME reviewedEmployer relevance, design hypotheses, and challenge fairness require accountable review
3
Reliability evaluatedAcross tasks, raters, occasions, and versions
4
Criterion evidence obtainedRelationship with relevant later outcomes
5
Local use evaluatedPopulation, setting, fairness, and transportability
Inspect the evidence model
Replay accepted typed events.
An authorized reviewer can follow a session from package and typed event through artifact revision, rating, derivation, contradiction, and bounded claim. Server measurements, client reports, and deterministic fixtures retain different evidence classes. Public ground truth is not exposed.