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Record W4206103707 · doi:10.1300/j005v35n02_01

Introduction

2008· article· en· W4206103707 on OpenAlexaff
Péter Horváth

Bibliographic record

VenueJournal of Prevention & Intervention in the Community · 2008
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsAcadia University
Fundersnot available
KeywordsPsychologyDysfunctional familyPsychological interventionCognitionConstructiveTheme (computing)Social psychologyDepression (economics)Clinical psychologyPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

The papers in this volume present both quantitative and qualitative studies on the various stages of women's experiences with depression including the antecedents of depression, dysfunctional reactions to depressive symptoms, and services and resources available in the community for depressed women. A recurrent theme in the findings of these studies is that depressed women tend to apply negative socially-derived and externally-imposed cognitive constructs or frames of reference by which they evaluate their self-worth. Having lost the social struggle over the control of these frames of reference, they become entrapped in cognitive constructs in which the self is seen as rejected, subordinate, and as a passive victim of hostile circumstances. The evidence suggests that psychological, social, and community interventions for depressed women need to encourage and empower them to own and control the processes of positive and constructive self-evaluation.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.606
Threshold uncertainty score0.864

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3940.216

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 head0.147
GPT teacher head0.489
Teacher spread0.342 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2008
Admission routes1
Has abstractyes

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