Bibliographic record
Abstract
Avant d’accepter des mandats axés sur la résolution de situations complexes, censés concilier des points de vue souvent inconciliables, Guy Coulombe s’était illustré en occupant des fonctions aussi diverses que secrétaire du Conseil du Trésor, secrétaire général du Conseil exécutif du gouvernement, président de la Société générale de financement (SGF), président d’Hydro-Québec, directeur général de la Sûreté du Québec et directeur général de la Ville de Montréal. Fidèle au rôle de serviteur non partisan de l’État, il a été de tous les chantiers structurants devant mener à l’érection d’un Québec moderne. Soucieux de se tenir constamment au-dessus de la mêlée, il a transcendé les régimes et fait partie de tous les changements de garde. Son parcours recèle de précieuses leçons de gestion, de leadership et de constance dans l’action. À vous de les découvrir et, comme il le fait si bien lui-même, d’en tirer l’essentiel pour l’exercice de votre propre leadership.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.094 | 0.031 |
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".