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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".