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Record W2004906471 · doi:10.1017/s1463423609001133

Community, equity, access: core geographic concepts in primary health care

2009· article· en· W2004906471 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

VenuePrimary Health Care Research & Development · 2009
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsMcMaster UniversityInstitute of AgingSimon Fraser University
Fundersnot available
KeywordsEquity (law)GeocodingElitismPublic relationsHealth equityDeclarationHealth careSociologyMedicinePolitical scienceNursingPublic healthGeographyPolitics

Abstract

fetched live from OpenAlex

While the use of appropriate technologies, an opposition to medical elitism, and achieving health for social development have been repeatedly cited as ideas important to both the Declaration of Alma-Ata and primary health care more generally, we believe that key geographic concepts are equally as foundational. More specifically, notions of ‘community’, ‘equity’, and ‘access’ are consistent definitional elements of primary health care across systems; each of these possesses inherently geographic components and, thus, to truly effectuate the most relevant primary health care research and practice, we must think geographically about them. Our objective in this short paper is to introduce readers to the geographic nature of primary health care and to encourage researchers and clinicians alike to engage with applying a ‘geographic lens’ to relevant enquiry and practice. To achieve this, we overview the geographic nature of community, equity, and access as these concepts relate to primary health care and also outline the fundamental geographic concepts of scale, space, and place.

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)0.018
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0080.000
Scholarly communication0.0000.001
Open science0.0020.003
Research integrity0.0000.007
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 head0.256
GPT teacher head0.603
Teacher spread0.346 · 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