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Record W2152792288 · doi:10.7202/602476ar

Quand des sociologues rencontrent des informaticiens : essai de formalisation, méta-modélisation, modélisation et simulation des systèmes d’action concrets

2009· article· fr· W2152792288 on OpenAlexvenueno aff
Pascal Roggero, Christophe Sibertin‐Blanc

Bibliographic record

VenueNouvelles perspectives en sciences sociales · 2009
Typearticle
Languagefr
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Le texte résulte d’une collaboration inédite entre sociologues et informaticiens. Il présente un travail de formalisation de la sociologie de l’action organisée qui a abouti à l’élaboration d’un méta-modèle de cette théorie. Ce méta-modèle permet de modéliser des systèmes d’action concrets et de simuler leur fonctionnement. A travers l’exposition des résultats théoriques et leur application à un cas simple, nous souhaitons montrer que cette démarche présente un intérêt théorique et méthodologique pour la sociologie. Elle permet de préciser des concepts sociologiques initialement exprimés en langage naturel afin de pouvoir les évaluer de manière quantitative. Elle rend possible la simulation de situations organisationnelles et ouvre ainsi la voie à une exploration des états possibles d’un système d’action concret. Ces éléments constituent, à nos yeux, un enrichissement de la pratique sociologique.

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 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)0.016
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0050.008
Scholarly communication0.0020.006
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.317
GPT teacher head0.461
Teacher spread0.145 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations8
Published2009
Admission routes1
Has abstractyes

Explore more

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