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Record W2162632510 · doi:10.1100/tsw.2004.201

An International Comparison of Women's Health Issues in the Philippines, Thailand, Malaysia, Canada, Hong Kong, and Singapore: The CIDA-SEAGEP Study

2004· article· en· W2162632510 on OpenAlex
Bernard C. K. Choi

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Scientific World JOURNAL · 2004
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of TorontoUniversity of Ottawa
FundersCanadian International Development Agency
KeywordsDeveloping countryCourtesyGovernment (linguistics)Economic growthPovertyReproductive healthMedicinePolitical scienceGlobal healthHealth policySocioeconomicsPublic healthEnvironmental healthPopulationNursingSociology

Abstract

fetched live from OpenAlex

This was an international study of women's health issues, based on an Official Study Tour in Southeast Asia (the Philippines, Thailand, Malaysia, Hong Kong, and Singapore) and Canada. The objectives of the study were to identify and compare current gaps in surveillance, research, and programs and policies, and to predict trends of women's health issues in developing countries based on the experience of developed countries. Key informant interviews (senior government officials, university researchers, and local experts), self-administered questionnaires, courtesy calls, and literature searches were used to collect data. The participating countries identified women's health as an important issue, especially for reproductive health (developing countries) and senior's health (developed countries). Cancer, lack of physical activity, high blood pressure, diabetes, poverty, social support, caring role for family, and informing, educating, and empowering people about women's health issues were the main concerns. Based on this study, 17 recommendations were made on surveillance, research, and programs and policies. A number of forthcoming changes in women''s health patterns in developing countries were also predicted.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.328
Teacher spread0.308 · 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