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The Role of the Business Sector in Global Health Politics

2018· reference-entry· en· W2924796738 on OpenAlexaff
Kelley Lee, Julia Smith

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRestructuringPoliticsCollective actionGlobal healthGoods and servicesPublic sectorBusiness sectorPrivate sectorPublic healthBusinessPopulationHealth careEconomic growthPolitical scienceEconomicsMarket economyMedicineEnvironmental healthLaw

Abstract

fetched live from OpenAlex

The influence of for-profit businesses in collective action across countries to protect and promote population health dates from the first International Sanitary Conferences of the nineteenth century. The restructuring of the world economy since the late twentieth century and the growth of large transnational corporations have led the business sector to become a key feature of global health politics. The business sector has subsequently moved from being a commercial producer of health-related goods and services, contractor, and charitable donor, to being a major shaper of, and even participant in, global health policymaking bodies. This chapter discusses three sites where this has occurred: collective action to regulate health-harming industries, activities to provide for public interest needs, and participation in decision-making within global health institutions. These changing forms of engagement by the business sector have elicited scholarly and policy debate regarding the appropriate relationship between public and private interests in global 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.

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)0.012
metaresearch head score (Gemma)0.008
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 score0.023
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.035
Scholarly communication0.0230.011
Open science0.0010.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.029
GPT teacher head0.313
Teacher spread0.284 · 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
Published2018
Admission routes1
Has abstractyes

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