Québec y Cataluña: redes y profesionales para la acción socioeducativa con familias, infancia y adolescencia en situación de riesgo social
Bibliographic record
Abstract
El artículo presenta los resultados de una investigación de campo de pedagogía\ncomparada que se llevó a cabo en Canadá y en España. Concretamente\nse analizan los resultados en relación a dos objetivos; el primero describir\nde forma comparada las redes de servicios sociales y las modalidades\nde acción socioeducativa con familias, infancia y adolescencia en situación de\nriesgo social; y el segundo analizar los desafíos, retos y dificultades que los\nprofesionales dedicados a la prevención del maltrato infantil de Canadá y España\nse encuentran en esta intervención con familias multiproblematicas.\nEste estudio de campo en Québec y Cataluña, se basa en la observación\ndirecta de los servicios sociales de base y especializados en prevención del\nmaltrato infantil, en entrevistas en profundidad con los profesionales de las\nredes de esos servicios y en el análisis documental de los materiales de los\nmismos
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".