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Health and Development

2017· other· en· W4245252546 on OpenAlexaff
Robert Huish

Bibliographic record

VenueInternational Encyclopedia of Geography · 2017
Typeother
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGlobal healthTransformative learningSocial determinants of healthEconomic growthMillennium Development GoalsPolitical scienceLatin AmericansInternational healthHealth equityHealth policyDevelopment economicsHealth careSociologyDeveloping countryEconomicsLaw

Abstract

fetched live from OpenAlex

Health and development are two intimately linked concepts that are often labeled as “global health.” International development has a transformative effect on the health landscapes in the Global South (referring to the division of countries in Latin America, Africa, and Asia that are in processes of development). Despite the close relationship between the two fields, in practice there is very little concern or connection between development practitioners and health practitioners. This tangential relationship results from a lack of specific attention to the social and environmental determinants of health in the Global South. The tendency for development to see economics first, and for health workers to see the absence of illness first, has created a fractured approach to meeting the health needs of the global poor, which has unfortunately contributed to the failure to meet the millennium development goals in their entirety. Greater attention to the dynamics of place is needed by both development and health practitioners to address the structural determinants of health in the twenty‐first century.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0030.022
Scholarly communication0.0120.007
Open science0.0010.009
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0450.008

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 head0.011
GPT teacher head0.298
Teacher spread0.287 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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