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Record W2073626895 · doi:10.3166/ria.16.587-620

Forms of cooperation in dyadic problem-solving

2002· article· fr· W2073626895 on OpenAlexvenueno aff
Michael J. Baker

Bibliographic record

VenueRevue d intelligence artificielle · 2002
Typearticle
Languagefr
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyComputer scienceAlgebra over a fieldMathematicsPure mathematics

Abstract

fetched live from OpenAlex

Nous proposons un modele descriptif des formes de la resolution cooperante de problemes en dyade, avec les mecanismes d'apprentissage qui y sont associes. La resolution cooperante de problemes est analysee selon trois dimensions fondamentales et graduelles: la symetrie, l'alignement et l'accord. La premiere dimension renvoie a la distribution de roles transactionnels, la deuxieme a la coordination des actions, et la troisieme a la resolution de desaccords. La combinaison des trois dimensions produit un espace de huit formes principales de cooperation, au sein desquelles nous situons la collaboration. Des analyses comparatives de sequences d'interactions illustrent les relations entre les dimensions. Enfin, nous discutons des mecanismes d'apprentissage associes aux formes de cooperation, et nous proposons des extensions du modele pour analyser des groupes plus etendues.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.005
Scholarly communication0.0040.007
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.182
GPT teacher head0.364
Teacher spread0.182 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations86
Published2002
Admission routes1
Has abstractyes

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