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Record W4321096156 · doi:10.1080/09581596.2023.2178387

Socialism as the way forward: updating a discourse analysis of the social determinants of health

2023· article· en· W4321096156 on OpenAlexaff
Dennis Raphael, Toba Bryant

Bibliographic record

VenueCritical Public Health · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsOntario Tech UniversityYork University
Fundersnot available
KeywordsCapitalismScholarshipPower (physics)SocialismSociologySocial determinants of healthDistribution (mathematics)Public healthState (computer science)Competition (biology)Social capitalCapitalist statePolitical economyEconomicsSocial sciencePolitical scienceEconomic growthHealth careBiologyLawPoliticsMedicine

Abstract

fetched live from OpenAlex

In 2011 Raphael identified seven discourses on the social determinants of health (SDH). These discourses ranged from ‘SDH as identifying those in need of health and social services’ to ‘SDH and their distribution result from the power and influence of those who create and benefit from health and social inequalities’. Developments since then have led us to identify an eighth: ‘SDH and their distribution result from the processes inherent to capitalism – capital accumulation, competition, and exploitation’. We identify scholarship espousing the view that quality and equitable distribution of SDH will require the creation of a post-capitalist socialist state. While the form this state will take remains uncertain, means of moving towards it are available. Specific steps the public health community can undertake are identified.

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)0.073
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.387

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0730.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.007
Science and technology studies0.0200.078
Scholarly communication0.0230.039
Open science0.0030.018
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0030.000

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 head0.103
GPT teacher head0.440
Teacher spread0.337 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations20
Published2023
Admission routes1
Has abstractyes

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