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Record W3197566492 · doi:10.1016/j.cjco.2021.08.016

Bringing Intersectionality to Cardiovascular Health Research in Canada

2021· editorial· en· W3197566492 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCJC Open · 2021
Typeeditorial
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsAthabasca UniversityUniversity of AlbertaWestern University
Fundersnot available
KeywordsIntersectionalityHealth equityCardiovascular healthDiseaseInequalityPopulationSocial determinants of healthMedicineEnvironmental healthGerontologyDemographyPublic healthSociologyInternal medicinePathologyGender studies

Abstract

fetched live from OpenAlex

Cardiovascular disease (CVD) affects various sub-groups of population; some are disproportionately affected more than others1, 2. Besides genetic and clinical factors, there is an important set of social factors that intersect to shape our cardiovascular health outcomes. Disparities in CVD are numerous and wide-ranging, having largely evolved from inequalities in society. Some populations carry a higher risk of, a higher prevalence of, and worse outcomes with CVDs.

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)0.001
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.038
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.237
GPT teacher head0.479
Teacher spread0.242 · 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