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Record W3118369443

Intervención psicoeducativa con hombres que ejercen violencia - HEV: El modelo multidimensional

2009· article· es· W3118369443 on OpenAlexaboutno aff
Sabina Deza Villanueva

Bibliographic record

VenueAvances en Psicología · 2009
Typearticle
Languagees
FieldSocial Sciences
TopicGender and Feminist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)PsychologyCriminologyIntervention (counseling)Social psychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

There are programs for men who exert violence in couple relations with women, in the Anglo-Saxon and Scandinavian world (United States, Canada, Sweden, Australia) since more than thirty years ago and eighteen years ago in the Hispanic world ( Argentina, Mexico). In the present research, we propose a multidimensional model with a gender perspective which includes cognitive, behavioral, emotional and historical dimensions of violent behavior, and incorporates different theoretical references. This causes the coordination of this problem -men who exert violence- and the possibilities of an intervention that pay completely attention to those components. This model supports with a gender perspective the importance of working psychoeducational strategies which permit that HEV assume the responsibility about the violence, critical consciousness about the use of violence and the place it has in himself and in the relation with women; just as the consequences of that behavior affects the partner and family. This model makes evident a denied and common woman, raising her to individual status.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.359
Teacher spread0.332 · 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 designNon-randomized trial
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

Citations0
Published2009
Admission routes1
Has abstractyes

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