Les relations entreprises-communautés : les leçons de l'expérience d'Hydro-Québec et des Cris
Bibliographic record
Abstract
Les questions liées aux relations entre entreprises et communautés locales se sont imposées au cours des dernières années comme un enjeu de gestion important pour nombre d’entreprises, en particulier dans le secteur industriel et des ressources naturelles. Comment construire, cultiver et reconstruire des relations durables et de réciprocité entre entreprises et communautés locales ? À partir de l’analyse de l’expérience de près de quatre décennies de relations entre Hydro-Québec et la Nation autochtone crie entourant le lancement de vastes projets hydroélectriques, cet article relève des pratiques prometteuses en matière de gestion des relations entreprises-communautés. Ainsi, l’établissement et le maintien de relations durables, qui doivent s’appuyer sur la notion d’« acceptabilité sociale », représentent un processus continu qu’il faut renouveler à toutes les étapes de la vie d’un projet.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.017 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".