Les déterminants de la satisfaction des partenaires engagés dans des coopérations inter-entreprises : Cas des fruits et légumes en Méditerranée
Bibliographic record
Abstract
Notre article s’intéresse à l’analyse des déterminants de la satisfaction des partenaires de coopérations inter-entreprises du secteur des fruits et légumes en Méditerranée. Pour cela, nous avons exploité les données originales issues d’une enquête menée lors du déroulement d’un salon professionnel à Perpignan en 2010 et ayant permis d’analyser la satisfaction des partenaires de 126 cas d’accords de coopération. Nos résultats signalent l’importance de la dimension de performance financière et l’atteinte des objectifs stratégiques ainsi que le comportement du partenaire comme principaux déterminants de la satisfaction globale des entreprises impliquées dans ce type de coopération.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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 teacher head, 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".