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Record W1951440696 · doi:10.7202/009128ar

Responsabilité sociale et régulation de l’entreprise mondialisée

2004· article· fr· W1951440696 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueRelations industrielles · 2004
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article analyse le potentiel régulatoire de la responsabilité sociale dans un contexte de mondialisation économique à partir d’une distinction entre ses trois dimensions : les pratiques, le discours et le questionnement. Sans comprendre la dynamique des initiatives corporatives de responsabilité sociale, le discours sur la responsabilité sociale élude les questionnements auxquels l’entreprise doit aujourd’hui faire face pour conserver sa légitimité et assurer son ancrage dans la société. Mais plutôt que de déplorer leur manque d’effectivité, les auteurs avancent que les mesures volontaires de responsabilité sociale telles que les codes de conduite ou ce que certains appellent la soft law sont annonciatrices d’un cadre de responsabilité sociale en voie d’institutionnalisation à l’échelle mondiale. Sur la base d’une analyse de l’expérience européenne, ils montrent que deux cadres de responsabilité sociale au potentiel régulatoire très différent sont actuellement en concurrence, et concluent en jetant les bases du système régulatoire qui semble se configurer à l’échelle internationale.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.500
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.025
GPT teacher head0.238
Teacher spread0.213 · 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