理論THY-2026-0108v0.1
高歧義成果的有型別、有版本品質本體
在寫任何題目之前，品質必須先是有型別的空間 Q[領域、任務、情境、受眾] = Q_core ⊕ Q_domain ⊕ Q_task，附帶構念之間依賴與衝突的構念圖，以及測量條目化管線 任務 → 構念 → 指標 → 題目 → 觀測 → 潛在估計。任何指標（BLEU、CLIPScore、美學模型分數）都只是空間的一個投影；構念效度閘（覆蓋、區辨效度、收斂證據、情境穩定）防止「精準地量錯東西」；本體是開放的——可從殘餘錯誤新增構念——但每次修訂都是一個版本，而多模態品質不是各模態分數的平均。
定義
definitions- Core Q_core = (fidelity, coherence, completeness, robustness, usefulness, verifiability); domain schemas for text, image, music, story, design; multimodal coupling dimensions.
- Quality construct graph G_Q = (V_Q, E_Q); construct validity gate G_C; open ontology Q_{t+1} = Q_t ∪ {new construct} under versioning.
- High-ambiguity quality object 𝔔_HA = (Q_schema, G_Q, Q_F, Q_S, θ̂_H, Σ_H, D_R, B_Q, Version_Q).
前提
assumptions- Subjective ≠ unstructured: large populations reliably detect structural failures even in creative artifacts.
主張
claims- HighAmbiguity ≠ Unmeasurable; Construct ≠ Indicator ≠ Item ≠ Metric; Reliability ≠ Validity.
- Fluency ≠ Factuality; Coherence ≠ Correctness; TechnicalQuality ≠ AestheticQuality; PromptSimilarity ≠ ImageQuality; Novelty ≠ Creativity; AestheticAppeal ≠ Usability.
- MultimodalQuality ≠ Mean(ModalityScores); CrossDomainComparison ⇒ SharedConstructBasis; OntologyRevision ⇒ Versioning; PreciseMeasurement ≠ CorrectConstructSelection.
形式化
formalization- Quality fiber view Q = ∪_x Q_x over x = (d, τ, c, a); cross-task projection Π_{x→y} only over shared constructs.
- Creativity as a region (novelty, appropriateness, value, surprise, coherence), not novelty × usefulness.
預測
predictions- Benchmarks whose quality ontology drifts without versioning will produce longitudinal comparisons that are silently invalid.
證偽／失敗條件
falsification_conditions- If a flat, unversioned checklist explains rater residuals and new failure modes as well as the typed construct graph, the ontology machinery is unnecessary.
已知限制
known_limitations- Schema proposals only; no domain ontology has been validated across populations.
關係
| 來源 | 關係 | 目標 | 狀態 | ID |
|---|---|---|---|---|
THY-2026-0108 高歧義成果的有型別、有版本品質本體 | extends | THY-2026-0107 二元殘餘品質測量（IBQF／BRQM） | ACTIVE | REL-2026-0373 |
RES-2026-0102 品質線——不叫人打分數也能量成果品質 | develops | THY-2026-0108 高歧義成果的有型別、有版本品質本體 | ACTIVE | REL-2026-0365 |
THY-2026-0109 鷹架能力紀錄：SSR、SDR、SCM 與消融階梯 | extends | THY-2026-0108 高歧義成果的有型別、有版本品質本體 | ACTIVE | REL-2026-0376 |
THY-2026-0110 canonical intelligence event、Pareto 比較與不過早純量化 | extends | THY-2026-0108 高歧義成果的有型別、有版本品質本體 | ACTIVE | REL-2026-0379 |
PAP-2026-0108 自然語言、圖像與創意如何被量？：高歧義成果的結構化品質空間 | formalizes | THY-2026-0108 高歧義成果的有型別、有版本品質本體 | ACTIVE | REL-2026-0420 |
歷史與來源歷程
- Canonical URL
- https://evemisslab.com/ai/theory/THY-2026-0108/
- 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