主張CLM-2026-0103v0.1
F3——二元負擔假說
若直接數值評分已是最低負擔、高品質的測量介面，則設計良好的二元／成對自適應協定在反應時間、一致性、流失率、預測效度或疲勞上應不具優勢。BRQM 預測至少在部分場景有優勢；可把受試者隨機分配到直接 0–10、結構化是／否與自適應成對三種格式來檢驗。
記錄欄位
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
關係
| 來源 | 關係 | 目標 | 狀態 | ID |
|---|---|---|---|---|
CLM-2026-0103 F3——二元負擔假說 | belongs_to | RES-2026-0102 品質線——不叫人打分數也能量成果品質 | ACTIVE | REL-2026-0384 |
THY-2026-0110 canonical intelligence event、Pareto 比較與不過早純量化 | contains | CLM-2026-0103 F3——二元負擔假說 | ACTIVE | REL-2026-0385 |
PAP-2026-0111 IPM v0.1 Canonical Index：智能物理計量學系列總論、統一符號表與 v0.2 實驗入口 | formalizes | CLM-2026-0103 F3——二元負擔假說 | ACTIVE | REL-2026-0439 |
PAP-2026-0110 一個答案值多少物理世界？：智能產率的統一計量框架 | formalizes | CLM-2026-0103 F3——二元負擔假說 | ACTIVE | REL-2026-0440 |
EXP-2026-0104 Experiment B——二元 vs 數值的人類測量（已宣告） | tests | CLM-2026-0103 F3——二元負擔假說 | ACTIVE | REL-2026-0492 |
歷史與來源歷程
- Canonical URL
- https://evemisslab.com/ai/claims/CLM-2026-0103/
- 快照
AI-SNAPSHOT-v0.1-fe85b9694a45- 來源歷程
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