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Record W3035783347 · doi:10.7565/ssp.2020.2812

Underlying Equity Discourses of the World Health Organization

2020· article· en· W3035783347 on OpenAlexaff
Michelle Amri, Arjumand Siddiqi, Patricia O’Campo, Theresa Enright, Erica Di Ruggiero

Bibliographic record

VenueSocial Science Protocols · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOperationalizationHealth equityEquity (law)Social determinants of healthAmbiguityPolitical scienceSociologyPublic relationsPublic economicsHealth careEconomicsEpistemologyLawComputer science

Abstract

fetched live from OpenAlex

Background: Globally, increasing attention has been paid to the concept of equity in the context of health, largely stemming from the work of the World Health Organization (WHO) beginning in the late 1970s with the Declaration of Alma-Ata (WHO, 1978) and more recently following the Commission on the Social Determinants of Health (CSDH, 2008) and their final report in 2008. Despite increasing attention to this issue, there is global ambiguity on the true definition of “health inequity”, “health inequalities”, or “health disparities” (Braveman, 2006, p. 167; Braveman & Gruskin, 2003). Methods/Design: This original scoping review clarifies how the WHO conceptualizes equity. It also identifies the theoretical underpinnings guiding the WHO’s approach to equity and its broader implications. This protocol followed the PRISMA guidelines for Scoping Reviews (PRISMA-ScR) (Tricco et al., 2018), with details discussed in the full protocol. Discussion: To date, much of the research on health equity globally has been restricted to chronological discussions over time or specific research fields (Borde & Hernández, 2018, p. 3). Therefore, researching the WHO’s approach to equity in terms of alignment with theory and broader normative standpoint(s) becomes increasingly important in addressing a gap in the literature. In addition, because the definition of equity in the context of health has practical implications for its operationalization (Guerra, Borde, & Salgado De Snyder, 2016), this work seeks to clarify in the concept of equity used by the WHO in hopes of moving towards a shared understanding to bridge action [e.g. in measurement and accountability (Braveman & Gruskin, 2003)].

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 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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.177
GPT teacher head0.459
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations23
Published2020
Admission routes1
Has abstractyes

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