PaperPAP-2026-0108v0.1

Paper 08 — How can natural language, images, and creative outputs be measured? A structured quality space for high-ambiguity artifacts

Defines the typed quality space Q[domain, task, context, audience] = core ⊕ domain ⊕ task with construct graphs, the itemization pipeline construct → indicator → item → observation → latent estimate, a construct-validity gate, an open but versioned ontology, multimodal coupling dimensions and the rule that novelty is not creativity; every metric is one projection.

Research status: STABLE the current conclusions are relatively stable
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)

Record

publication_type: series paper (Intelligence Physical Metrology series, 10 papers); 公開純理論論文, 無 MVP
authors: Neo.K (EveMissLab)
date: 2026-09-02
doi_or_external_id: EML-IPM-08
source_artifact: IPM_08_自然語言圖像與創意如何被量_v0.1.zip!/IPM_08_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_v0.1.md

Recorded fields

checksums

paper .md sha256: d6bdb944f86c2274c880e651b551b6f1b3cd731d52affa588ecaf3089f7089a2

tags

zh-TW
canonical UTF-8 Markdown
paper 8/10
role: 跨模態品質本體

Relations

Source	Relation	Target	Status	ID
`PAP-2026-0108` Paper 08 — How can natural language, images, and creative outputs be measured? A structured quality space for high-ambiguity artifacts	`reports`	`RES-2026-0102` Quality line — measuring outcome quality without asking humans for a score	`ACTIVE`	`REL-2026-0419`
`PAP-2026-0108` Paper 08 — How can natural language, images, and creative outputs be measured? A structured quality space for high-ambiguity artifacts	`formalizes`	`THY-2026-0108` Typed, versioned quality ontology for high-ambiguity artifacts	`ACTIVE`	`REL-2026-0420`
`PAP-2026-0108` Paper 08 — How can natural language, images, and creative outputs be measured? A structured quality space for high-ambiguity artifacts	`packaged_as`	`ART-2026-0109` EML-IPM Paper 08 — canonical UTF-8 Markdown + manifest (zip) `artifact://evemisslab/intelligence-physical-metrology/IPM_08_自然語言圖像與創意如何被量_v0.1.zip`	`ACTIVE`	`REL-2026-0421`
`PAP-2026-0108` Paper 08 — How can natural language, images, and creative outputs be measured? A structured quality space for high-ambiguity artifacts	`packaged_as`	`ART-2026-0101` EML-IPM v0.1 canonical series package — 10 papers + canonical index + SHA-256 manifest (UTF-8 Markdown) `artifact://evemisslab/intelligence-physical-metrology/IPM_v0.1_Canonical_Series_Package.zip`	`ACTIVE`	`REL-2026-0422`

History and provenance

Canonical URL

https://evemisslab.com/ai/papers/PAP-2026-0108/

Machine-readable

/ai/papers/PAP-2026-0108/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