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‘Health equity through action on the social determinants of health’: taking up the challenge in nursing

2010· article· en· W1678979777 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

VenueNursing Inquiry · 2010
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHealth equitySocial determinants of healthEquity (law)Health policyMandateHealth carePublic relationsContext (archaeology)NursingPolitical scienceEconomic growthSociologyMedicineEconomicsLaw

Abstract

fetched live from OpenAlex

Reducing health inequities is a priority issue in Canada and worldwide. In this paper, we argue that nursing has a clear mandate to ensure access to health and health-care by providing sensitive empowering care to those experiencing inequities and working to change underlying social conditions that result in and perpetuate health inequities. We identify key dimensions of the concept of health (in)equities and identify recommendations to reduce inequities advanced in key global and Canadian documents. Using these documents as context, we advocate a 'critical caring approach' that will assist nurses to understand the social, political, economic and historical context of health inequities and to tackle these inequities through policy advocacy. Numerous societal barriers as well as constraints within the nursing profession must be acknowledged and addressed. We offer recommendations related to nursing practice, education and research to move forward the agenda of reducing health inequities through action on the social determinants of health.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.587
GPT teacher head0.615
Teacher spread0.027 · 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