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Record W2519630430 · doi:10.15171/ijhpm.2016.101

Politics, Power, Poverty and Global Health: Systems and Frames

2016· article· en· W2519630430 on OpenAlexaff
Solomon R. Benatar

Bibliographic record

VenueInternational Journal of Health Policy and Management · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversity of TorontoPublic Health Ontario
Fundersnot available
KeywordsGlobal healthPovertySocial determinants of healthHealth equityPoliticsInterdependencePolitical scienceGlobeFraming (construction)AnthropocentrismHealth carePublic relationsSociologyMedicineLawEngineering

Abstract

fetched live from OpenAlex

Striking disparities in access to healthcare and in health outcomes are major characteristics of health across the globe. This inequitable state of global health and how it could be improved has become a highly popularized field of academic study. In a series of articles in this journal the roles of power and politics in global health have been addressed in considerable detail. Three points are added here to this debate. The first is consideration of how the use of definitions and common terms, for example 'poverty eradication,' can mask full exposure of the extent of rectification required, with consequent failure to understand what poverty eradication should mean, how this could be achieved and that a new definition is called for. Secondly, a criticism is offered of how the term 'global health' is used in a restricted manner to describe activities that focus on an anthropocentric and biomedical conception of health across the world. It is proposed that the discourse on 'global health' should be extended beyond conventional boundaries towards an ecocentric conception of global/planetary health in an increasingly interdependent planet characterised by a multitude of interlinked crises. Finally, it is noted that the paucity of workable strategies towards achieving greater equity in sustainable global health is not so much due to lack of understanding of, or insight into, the invisible dimensions of power, but is rather the outcome of seeking solutions from within belief systems and cognitive biases that cannot offer solutions. Hence the need for a new framing perspective for global health that could reshape our thinking and actions.

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 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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.733
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.375
Teacher spread0.345 · 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 teacher head, not a consensus.

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

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

Citations105
Published2016
Admission routes1
Has abstractyes

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