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Record W3129032871 · doi:10.4000/temporalites.7615

Le temps de travail des cadres à l’épreuve d’un dispositif de gestion de la créativité

2020· article· fr· W3129032871 on OpenAlexaff
Jérôme Cihuelo

Bibliographic record

VenueTemporalités · 2020
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsHumanitiesPolitical scienceRationalisationArtMathematics

Abstract

fetched live from OpenAlex

La diffusion de méthodes de conception empruntant à l’univers du design et à l’image du design thinking restitue une forme renouvelée de mobilisation des cadres. La mobilisation recherchée se traduit par l’appréhension de l’innovation sous la forme d’une injonction managériale et d’une définition de dispositifs de gestion de la créativité. Il s’agit tout autant d’activer des dynamiques d’innovation que d’en assurer le cadrage dans un espace-temps spécifique. Dans cette perspective, l’article analyse les dynamiques temporelles produites par l’introduction d’un accélérateur de projet s’illustrant par une intensification (compression et flexibilisation) et une fragmentation du temps de travail des cadres engagés. Il s’agit de montrer comment ce type de dispositif de gestion de la créativité, loin d’être une réponse à la « critique artiste », prolonge le projet de rationalisation des activités de conception initié par la gestion de projet. Par-delà la rationalisation du travail de conception, l’article s’attache à appréhender les modes de réinvestissement du dispositif étudié sous l’angle des bénéfices symboliques retirés par les participants.

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)0.006
metaresearch head score (Gemma)0.012
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 score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.006
Scholarly communication0.0110.008
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.003

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 head0.248
GPT teacher head0.317
Teacher spread0.069 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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