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Record W2024762999 · doi:10.2190/2khh-6j9y-49gj-m00c

Beijing and Beyond: Women's Health and Gender-Based Analysis in Canada

2006· article· en· W2024762999 on OpenAlexaffabout
Olena Hankivsky

Bibliographic record

VenueInternational Journal of Health Services · 2006
Typearticle
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBeijingGovernment (linguistics)Economic growthFourth WorldWork (physics)Political scienceReproductive healthHealth policyMedicinePublic relationsHealth careEnvironmental healthChinaPopulationLawEconomicsEngineering

Abstract

fetched live from OpenAlex

On the tenth anniversary of the Fourth World Conference on Women, held in Beijing, this article evaluates Canada's progress in the area of women's health by critically examining the Women's Health Strategy. Introduced in 1999 by Health Canada, the Strategy is considered Canada's key response to its international commitments for promoting women's health and in particular for implementing a gender-based analysis in all programs, services, policies, and research. By reviewing each objective of the Strategy, the article illustrates the limited progress that has been made to date. It provides arguments for why and how all levels of government should work to improve their response to women's health in Canada and, specifically, how the Women's Health Strategy can be redesigned to be more effective in attending to the needs and concerns of all Canadian women.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.191
Threshold uncertainty score0.939

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.010
Science and technology studies0.0230.007
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.328
Teacher spread0.307 · 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 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

Citations10
Published2006
Admission routes2
Has abstractyes

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