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Record W2104017721 · doi:10.1177/0268580908099155

`Fundamental Causes' of Health Disparities

2009· article· en· W2104017721 on OpenAlex
Andrea E. Willson

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

VenueInternational Sociology · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsWestern University
Fundersnot available
KeywordsSocioeconomic statusHealth equityOddsInequalitySocial determinants of healthDemographic economicsDiseaseEnvironmental healthDevelopment economicsDemographyEconomic growthMedicineEconomicsHealth careSociologyPopulationLogistic regression

Abstract

fetched live from OpenAlex

This article examines the relative impact of socioeconomic status as a `fundamental cause' of health disparities in Canada and the US. Fundamental cause theory suggests that persons of higher socioeconomic status have available a broad range of resources to benefit their health and therefore hold an advantage in warding off whatever particular threats to health exist at a given time. This leads to two predictions: (1) SES is more strongly associated with diseases that are more highly preventable than with less preventable diseases; and (2) SES has a stronger relationship to health in the US, where higher economic inequality and a lack of universal health insurance leads to a greater vying for resources. Findings indicate lower levels of SES increase the odds of experiencing a highly preventable disease relative to a less preventable disease in the US, but not in Canada, suggesting that social policies and level of economic inequality may buffer the relationship between socioeconomic resources and the incidence of preventable disease.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.046
GPT teacher head0.421
Teacher spread0.375 · 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