MétaCan
Menu
Back to cohort
Record W2913735621 · doi:10.1177/1403494818824436

Capital interplays and social inequalities in health

2019· article· en· W2913735621 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.

Bibliographic record

VenueScandinavian Journal of Public Health · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSocioeconomic statusSocial capitalInequalitySocial inequalityCultural capitalSociologyCapital (architecture)Social mobilityHealth equityVariety (cybernetics)EconomicsEconomic growthHealth careSocial scienceGeographyPopulationMathematicsDemography

Abstract

fetched live from OpenAlex

We explore the ramifications of applying Pierre Bourdieu's theory of capitals to epidemiological research on socioeconomic health inequalities. Capitals are resources used by individuals and groups to maintain and enhance their positions in the social order. The notion of capital interplay refers to the interconnectedness of multiple forms of capital in the production of good health. We provide definitions of economic, cultural and social capitals and describe a variety of causally distal processes-namely, capital acquisition, multiplier and transmission interplays-from which new hypotheses can be developed to guide future study of socioeconomic health inequalities in modern societies.

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.063
GPT teacher head0.357
Teacher spread0.294 · 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