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Arguments in Health Geography: On Sub‐Disciplinary Progress, Observation, Translation

2012· article· en· W2136897854 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

VenueGeography Compass · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of ManitobaAthabasca UniversityMcMaster University
Fundersnot available
KeywordsSituatedDisciplineHuman geographyPublic healthTheme (computing)Critical geographyHealth geographyHealth careStrategic geographySociologyHistorical geographySocial scienceEpistemologyHealth policyInternational healthPolitical scienceMedicineNursingLaw

Abstract

fetched live from OpenAlex

Abstract To introduce the sub‐discipline of health geography and its developing interests, this paper initially reviews the different forms of arguments mounted by researchers. First, arguments on the nature and progress of inquiry that speak to directions, concepts, theories and methods. Second, using health care settings, public health and environmental health as illustrations, arguments that interpret and explain health and health care in different ways. A final series of discussions takes the theme of arguments further in terms of how they might affect change in the world. Specifically, health geography is situated within four broad movements currently unfolding in the larger disciplines to which it contributes. With regard to the parent discipline of human geography, the ‘policy turn’ and more generally the idea of ‘public geography’. With regard to the health sciences, Evidenced‐Based Health Care and Knowledge Translation.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.062
GPT teacher head0.362
Teacher spread0.301 · 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