Gobiernos, territorios y políticas públicas: un análisis desde una perspectiva multidimensional y multisectorial. Entrevista con Daniel Béland
Bibliographic record
Abstract
En esta entrevista dialogamos con Daniel Béland, director del McGill Institute for the Study of Canada y Professor del Department of Political Science sobre varios de los temas que vertebran el enfoque y la misión teórica y práctica de la revista Gestión y Análisis de Políticas Públicas (GAPP), como la reforma de las instituciones y sus determinantes –por ejemplo, el papel de la ideas en los diferentes actores– o el impacto del federalismo –especialmente el federalismo fiscal– en el desarrollo y cambio de los Estados de bienestar y las políticas sociales desde un punto de vista comparado. A lo largo de las siguientes páginas tratamos de aportar algo de luz a todos estos temas mediante un repaso de la agenda de investigación del profesor Daniel Béland de los últimos veinte años, deteniéndonos en sus principales aportaciones, tanto teóricas como empíricas.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.020 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".