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Record W1528118106 · doi:10.7202/1027681ar

Financiarisation des organisations et organisations financières

2014· article· fr· W1528118106 on OpenAlexaffvenue
François L’Italien

Bibliographic record

VenueCahiers de recherche sociologique · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesCorporationPhilosophyLaw

Abstract

fetched live from OpenAlex

Au cours des trente dernières années, la grande corporation de droit privé a connu des transformations structurelles qui ont affecté aussi bien sa dynamique interne que les modalités d’adaptation à son environnement. La mise en place d’un régime d’accumulation financiarisée a, parmi d’autres facteurs, entraîné une reconfiguration des principaux dispositifs de contrôle de la corporation, qui doit désormais composer avec un système d’organisations financières matérialisant un nouvel espace de régulation de la vie économique. S’appuyant sur les travaux récents de la sociologie institutionnaliste américaine de la corporation, cet article vise à identifier les principales logiques de restructuration de la grande corporation qui ont été concomitantes du déploiement du capitalisme financiarisé. Ces modalités seront schématiquement analysées à partir des pratiques des principaux acteurs qui leur ont donné une effectivité propre.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.004
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.001
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 head0.168
GPT teacher head0.405
Teacher spread0.237 · 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 designNot applicable
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
Published2014
Admission routes2
Has abstractyes

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