Las fuentes de energía renovable en Nova Scotia: Estrategias del gobierno provincial frente a las presiones del gobierno federal canadiense para alcanzar su meta de cero emisiones para 2050
Bibliographic record
Abstract
El gobierno federal canadiense bajo la administración del primer ministro liberal Justin Trudeau, estableció en 2021 su compromiso para que Canadá comenzara una reducción gradual de sus emisiones contaminantes hasta llegar a cero en 2050. Tal directriz, significa que las diez provincias y tres territorios del país, deben ajustar de forma autónoma sus estrategias para sumarse a esa meta en un ejercicio común establecido desde el gobierno central. Para el caso particular de la provincia atlántica de Nova Scotia, este mandato federal representa un enorme reto, ya que su infraestructura, desarrollada desde el siglo XVII, giró en buena medida alrededor de la generación de energía fósil. Este trabajo señala los obstáculos culturales y corporativos, las potencialidades de la energía alternativa, y las estrategias políticas que han debido desarrollar los líderes de la provincia para encontrar la estrategia más adecuada que sume a Nova Scotia a la dinámica que ya se ha emprendido en todas las regiones del país.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".