Bibliographic record
Abstract
Le Quebec a developpe massivement l'hydroelectricite, accumulant d'immenses surplus des le debut des annees 80. Mais, ces dernieres annees, les donnees ont fondamentalement change puisque la societe d'Etat Hydro-Quebec (HQ) n'a plus de surplus energetiques a ecouler, alors que le cout de l'electricite sur les marches limitrophes a connu une augmentation substantielle et structurelle. Pour parer au plus presse, HQ a elabore un projet de centrale thermique a cycle combine qu'elle a du abandonner devant la levee de boucliers qu'il a suscite. Le present article discute de la reorganisation du secteur de l'electricite, de la securite energetique et, surtout, de l'opportunite de developper la filiere thermique au gaz. Il a ete mis en evidence que le nouveau sentiment de securite energetique ne peut etre utilise pour maintenir le statu quo actuel et que le developpement de nouvelles sources d'energie pourrait notablement contribuer a faire face a la croissance des besoins et assurer ainsi la securite d'approvisionnement. Les auteurs sont d'avis que la nouvelle politique energetique du Quebec doit non seulement garantir l'acces a l'energie a prix concurrentiel mais, surtout, refleter la place de l'energie comme source de prosperite et de richesse nationale.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 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".