La responsabilité sociale de l’entreprise au-delà du fonctionnalisme : un cadre d’analyse pluraliste de l’interface entreprise - société
Bibliographic record
Abstract
(VF)Cet article propose un cadre d’analyse renouvelé de la Responsabilité Sociale de l’Entreprise (RSE), afin de faciliter le développement de perspectives de recherches alternatives au paradigme fonctionnaliste. Ce modèle articule quatre perspectives alternatives sur l’interface entreprise / société auxquelles correspondent quatre approches de la RSE : la RSE comme fonction de régulation sociale, la RSE comme relation de pouvoir, la RSE comme produit culturel et enfin la RSE comme construction sociocognitive. L’article démontre l’intérêt de ce cadre d’analyse pluraliste pour dé-fonctionnaliser la littérature sur les relations entreprise / société, et faire émerger de nouvelles questions de recherche sur la RSE.(VA)This paper proposes a new framework for Corporate Social Responsibility (CSR) that aims at moving the Business and Society research field beyond the dominant functionalist paradigm. Burrell and Morgan’s (1979) grid of analysis is mobilized to develop an alternative framework for CSR. This framework distinguishes four perspectives on the corporation- society interface which give rise to four approaches to CSR: CSR as a social regulatory function, CSR as a power relationship, CSR as a cultural product and CSR as a sociocognitive construction. The article shows how the framework can be used to “de-functionalize” research on the corporation-society interface, account for the most recent conceptual developments in the CSR field, and construct a renewed research agenda for CSR.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.026 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".