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Record W2978855127 · doi:10.1522/revueot.v28n1.1026

Les déterminants du comportement responsable des dirigeants dans l’industrie agroalimentaire

2019· article· fr· W2978855127 on OpenAlexvenueno aff
Nadège Ingrid Gouanlong Kamgang

Bibliographic record

VenueRevue Organisations & territoires · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Dans un monde où les problèmes environnementaux et sociaux occupent une place toujours plusgrande, le rôle des entreprises est remis en question. Indépendamment de leur taille, de leurs secteurs d’activité, de leur localisation géographique, les entreprises se sont résolument tournées ces dernières années vers la RSE. Les récents mouvements observés dans l’environnement économique camerounais relatifs à l’interdiction de l’usage de l’emballage plastique touche non seulement les entreprises productrices, mais aussi celles utilisatrices à l’instar des entreprises de l’Industrie Agro-Alimentaire (IAA). L’objet de recherche est orienté sur la perception de la RSE parles dirigeants des IAA. Il ressort de l’analyse des discours des interviewés que la RSE est principalement réduite à la dimension environnementale. De même, ces dirigeants d’entreprises utilisatrices d’emballage plastique approuvent et consolident l’initiative de l’État, mais ils se sont aussi prononcés en faveur des opportunités de collaboration de type médiatique avec leurs fournisseurs en amont.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.050
GPT teacher head0.282
Teacher spread0.232 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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