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Record W3129269061 · doi:10.3390/healthcare9020233

Feminist Political Economy of Health: Current Perspectives and Future Directions

2021· review· en· W3129269061 on OpenAlexaff
Iffath Unissa Syed

Bibliographic record

VenueHealthcare · 2021
Typereview
Languageen
FieldHealth Professions
TopicHealthcare Systems and Challenges
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHealth carePoliticsFeminismWork (physics)Political scienceHealth equityPandemicPolitical economySociologyGender studiesEconomic growthCoronavirus disease 2019 (COVID-19)EconomicsMedicine

Abstract

fetched live from OpenAlex

Feminist political economy of health is a term that has emerged as a result of research that has combined and connected a feminist political economy lens with a focus on health disparities of women. This paper provides an overview of the literature from the work of feminist medical sociologists and feminist health scholars that have shaped the concept of feminist political economy of health. The analysis indicates that while women have experienced health inequities inside the healthcare system, there are also significant health disparities that are experienced outside the healthcare system due to women's social, economic, political, and cultural conditions. Given that there are dual crises with respect to the COVID-19 pandemic as well as social movements pushing for change, further work that uses intersectional approaches is advocated.

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)0.008
metaresearch head score (Gemma)0.009
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: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.006
Science and technology studies0.0020.007
Scholarly communication0.0070.009
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0090.001

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 head0.273
GPT teacher head0.554
Teacher spread0.281 · 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
GenreReview

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

Citations27
Published2021
Admission routes1
Has abstractyes

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