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Record W2046720381 · doi:10.3917/soc.079.0105

Le jeu de l'intelligence collective

2003· article· fr· W2046720381 on OpenAlex

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

VenueSociétés · 2003
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsBarrie Urology GroupUniversity of Ottawa
Fundersnot available
KeywordsCollective intelligenceSociologyHumanitiesComputer sciencePhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

Un nouveau champ de recherche et d'enseignement, centre sur l'etude et l'amenagement de l'intelligence collective humaine techniquement augmentee emerge a l'echelle internationale. La finalite theorique de cette nouvelle science de l'intelligence collective est de comprendre de maniere operatoire le fonctionnement des groupes humains engages dans une activite cooperative au moyen d'ordinateurs ou de terminaux mobiles en reseaux. Cette science n'entend pas negliger les enjeux culturels, pratiques et esthetiques de ces activites de communication. Une approche cognitive semble etre l'element unificateur de ce nouveau champ, en s'appuyant sur la notion d'ecologie des idees et sur un outil baptise Jeu de l'intelligence collective (JIC). De nombreux archetypes abstraits et concrets en sont obtenus, ainsi que leurs combinaisons

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.006

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 head0.321
Teacher spread0.272 · 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