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Record W2101909238 · doi:10.5153/sro.2024

Explaining the Health Gap Experienced by Girls and Women in Canada: A Social Determinants of Health Perspective

2009· article· en· W2101909238 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSociological Research Online · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSocial determinants of healthSocioeconomic statusHealth equityRace and healthSociologyPerspective (graphical)Population healthContext (archaeology)IntersectionalityEthnic groupImmigrationPopulationGender studiesPolitical scienceHealth careGeographyDemography

Abstract

fetched live from OpenAlex

In the last few decades there has been a resurgence of interest in the social causes of health inequities among and between individuals and populations. This ‘social determinants’ perspective focuses on the myriad demographic and societal factors that shape health and well-being. Heeding calls for the mainstreaming of two very specific health determinants - sex and gender - we incorporate both into our analysis of the health gap experienced by girls and women in Canada. However, we take an intersectional approach in that we argue that a comprehensive picture of health inequities must, in addition to considering sex and gender, include a context sensitive analysis of all the major dimensions of social stratification. In the case of the current worldwide economic downturn, and the uniquely diverse Canadian population spread over a vast territory, this means thinking carefully about how socioeconomic status, race, ethnicity, immigrant status, employment status and geography uniquely shape the health of all Canadians, but especially girls and women. We argue that while a social determinants of health perspective is important in its own right, it needs to be understood against the backdrop of broader structural processes that shape Canadian health policy and practice. By doing so we can observe how the social safety net of all Canadians has been eroding, especially for those occupying vulnerable social locations.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.260
GPT teacher head0.542
Teacher spread0.282 · 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