“We want our City back!” Strategies and values regarding metropolitan reforms
Bibliographic record
Abstract
Las reformas metropolitanas ponen en evidencia la existencia de visiones dispares sobre el municipio y los mecanismos de gobierno de las áreas metropolitanas, teorizadas bajo cuatro corrientes (escuelas de la reforma y de la elección racional, perspectivas neo-regionalista y rescalar). En este artículo analizamos, mediante el caso de Montreal, cómo los actores se apropian de éstas visiones y se movilizan para defender su ideal metropolitano. Las estrategias y valores ante las reformas metropolitanas no se producen en el vacío sino que están condicionadas por las normas del sistema político e institucional. Así, la capacidad de influencia de los actores en las reformas está marcada por las reglas del juego político, que favorecen y legitiman las ideas de unos grupos por encima de otros
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".