ClaimCLM-2026-0103v0.1

F3 — Binary burden hypothesis

If direct numeric human rating were already the minimum-burden, high-quality measurement interface, then well-designed binary / pairwise adaptive protocols should have no advantage in response time, consistency, dropout, predictive validity or fatigue. BRQM predicts an advantage in at least some settings; it can be tested by randomizing participants across direct 0–10, structured yes/no and adaptive pairwise formats.

Research status: PRELIMINARY a first formalisation or observation exists
Evidence level: E0 Concept only
Data basis: THEORY Theoretical reasoning only; no measurement.
Version: 0.1
Updated: 2026-09-02
Created: 2026-09-02
Domain: Evaluation
Program: PRG-2026-0101 Intelligence Physical Metrology (IPM)
Authors: Neo.K (EveMissLab)
AI collaborators: Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)

Recorded fields

falsification_conditions: Falsified if binary/pairwise protocols are worse than direct rating on all of response time, consistency, dropout and predictive validity; supported if they win on some.
tags: falsifiable proposition
IPM v0.1 canonical index §23
Paper 10

Relations

Source	Relation	Target	Status	ID
`CLM-2026-0103` F3 — Binary burden hypothesis	`belongs_to`	`RES-2026-0102` Quality line — measuring outcome quality without asking humans for a score	`ACTIVE`	`REL-2026-0384`
`THY-2026-0110` The canonical intelligence event, Pareto comparison and no premature scalarization	`contains`	`CLM-2026-0103` F3 — Binary burden hypothesis	`ACTIVE`	`REL-2026-0385`
`PAP-2026-0111` IPM v0.1 canonical index — series overview, unified notation and the v0.2 experimental entry point	`formalizes`	`CLM-2026-0103` F3 — Binary burden hypothesis	`ACTIVE`	`REL-2026-0439`
`PAP-2026-0110` Paper 10 — How much physical world does an answer cost? A unified metrology framework for intelligence yield	`formalizes`	`CLM-2026-0103` F3 — Binary burden hypothesis	`ACTIVE`	`REL-2026-0440`
`EXP-2026-0104` Experiment B — binary vs numeric human measurement (declared)	`tests`	`CLM-2026-0103` F3 — Binary burden hypothesis	`ACTIVE`	`REL-2026-0492`

History and provenance

Canonical URL

https://evemisslab.com/ai/claims/CLM-2026-0103/

Machine-readable

/ai/claims/CLM-2026-0103/index.json

Snapshot

AI-SNAPSHOT-v0.1-fe85b9694a45

Provenance

source: EveMissLab research collection: Intelligence Physical Metrology (真本體論13)
extracted_by: Splice (Claude Code), reading the canonical UTF-8 sources and each package's own reports
extracted_at: 2026-09-11
generator: tools/extract_all.py
claim_boundary: status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports