La finalité des coopératives bancaires : un avantage pour attirer de futurs diplômés
Bibliographic record
Abstract
En tant que coopérative, la coopérative financière a comme finalité de satisfaire au maximum ses membres-clients alors que l’entreprise classique vise la maximisation des bénéfices. Les candidats disponibles sur le marché de l’emploi sont-ils sensibles à la finalité poursuivie par les entreprises lorsqu’ils décident de poser leur candidature ? Le cas échéant, est-ce que la satisfaction de la clientèle est une finalité plus attractive que la maximisation des bénéfices ? Cet article présente les résultats d’une étude effectuée auprès d’étudiants d’une école de commerce. Les résultats confirment l’hypothèse que la finalité de l’entreprise influence l’attractivité organisationnelle et que la finalité coopérative est plus attractive que celle d’une banque traditionnelle.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".