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Record W2128198463 · doi:10.5944/reec.12.2006.7435

Québec y Cataluña: redes y profesionales para la acción socioeducativa con familias, infancia y adolescencia en situación de riesgo social

2006· article· es· W2128198463 on OpenAlexaboutno aff
María Ángeles Balsells

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2006
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Sciences and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.004
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.022
GPT teacher head0.297
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2006
Admission routes1
Has abstractyes

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