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Record W2989947911 · doi:10.3917/rips1.060.0063

L’imaginaire : leurre générateur d’agressivité ou consistance génératrice de dynamiques sociales créatives ? Le cas de Conseils départementaux et d’associations d’aide à domicile

2019· article· fr· W2989947911 on OpenAlexaff
Carine Chemin-Bouzir

Bibliographic record

VenueRevue internationale de psychosociologie et de gestion des comportements organisationnels · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesSociologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

L’imaginaire au sens de Castoriadis peut promouvoir ou bloquer l’institution d’un faire collectif porteur de sens. Ces dynamiques ont été étudiées par la littérature existante à l’échelle de la société dans son ensemble et à l’échelle de petits groupes de travail. Cet article montre comment les institutions sociales secondaires, intermédiaires entre la société et les groupes de travail ont une influence sur les imaginaires maniés. Un Conseil départemental maniant un imaginaire du « tout quantifiable » figé et imposé de l’extérieur provoque de l’agressivité de la part de directions d’associations. Un Conseil départemental animant une dynamique où l’imaginaire et les règles sont élaborés collectivement provoque une saine régulation de l’engagement affectif des salariés de terrain. Les directions d’association se saisissent de cette dynamique autour d’objets de travail partagés, et les singularités trouvent leur place dans les collectifs de travail.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.021
Scholarly communication0.0090.005
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.137
GPT teacher head0.383
Teacher spread0.246 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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