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Quelles redistributions de pouvoirs autour des « automates sémantiques » ?

2013· book-chapter· fr· W1567748784 on OpenAlex
Yannick Maignien

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePresses des Mines eBooks · 2013
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsHumanitiesComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

L’évolution actuelle du Web s’engage vers une complexité de développement indéterminée. Complexité qui tient à sa socialisation croissante ainsi qu’à l’essor des mobiles et le déploiement des réseaux sociaux. Cette complexité s’exprime à travers le Web sémantique, ou Web de données. D’un point de vue technique avec l’expression RDF des données et OWL des ontologies, et la constitution de « silos de données » plus en plus sophistiqués. Les politiques d’ouverture des données publiques, ou de pression sur la transparence des données personnelles sont en pleine transformation.Les évolutions les plus fortes sont à chercher du côté de la crise de la fiction portée par ces médias de communication et de représentation.Les sciences humaines et sociales devraient bousculer les cloisonnements disciplinaires, mais aussi accompagner de nouvelles formes d’expérimentation sociales, territoriales, éducatives ou cognitives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.671
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.271
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it