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Record W2055678321 · doi:10.1177/1359105310371703

Creating New Career Pathways to Reduce Poverty, Illiteracy and Health Risks, while Transforming and Empowering Cambodian Women’s Lives

2010· article· en· W2055678321 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Health Psychology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsFunctional illiteracyEmpowermentPovertyParticipatory action researchPsychologySociologyEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Community health psychology provides a framework for local citizens themselves to systematically affect change in health and social inequalities, particularly through Participatory Action Research (PAR). The Cambodian NGO SiRCHESI launched a 24-month Hotel Apprenticeship Program (HAP) in 2006 to provide literacy, English, social skills, health education, hotel skills-training, work experience and a living wage to women formerly selling beer in restaurants; there they had faced workplace risks including HIV/AIDS, alcohol overuse, violence and sexual coercion. Quantitative and qualitative analyses indicate changes in health-related knowledge, behaviour, self-image and empowerment, as HAP trainees were monitored and evaluated within their new career trajectories.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.485
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.568
GPT teacher head0.651
Teacher spread0.082 · 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