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Record W2102951835 · doi:10.1093/heapro/dar078

Ottawa 25 years on: a more radical agenda for health equity is still required

2011· article· en· W2102951835 on OpenAlexaboutno aff
Fran Baum, David Sanders

Bibliographic record

VenueHealth Promotion International · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)Health promotionAccountabilityPoliticsCivil societySubsidyBusinessFood securityLiberalizationRight to healthHealth impact assessmentPolitical scienceAgricultureEconomic growthHealth carePublic healthEconomicsMedicineLaw

Abstract

fetched live from OpenAlex

This article revisits our 1995 assessment of the international health promotion agenda. Then we concluded that a more radical agenda for change was required in which responses were both technically sound and infused with an appreciation of the imperative for a change in politics and power. We conclude that this message is even more relevant in 2011 in an era when the continuing rise of transnational corporations (TNCs) poses a major threat to achieving improved and more equitable health. We support and illustrate this claim through the example of food and agriculture TNCs where the combination of producer subsidies, global trade liberalization and strengthened property rights has given increasing power to the corporate food industry and undermined national food security in many countries. We argue that a Health in All Policies approach should be used to monitor and enforce TNC accountability for health. Part of this process should include the use of a form of health impact assessment and health equity impact assessment on their activities. Civil society groups such as the People's Health Movement have a central role to play in monitoring the impacts of TNCs.

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)0.008
metaresearch head score (Gemma)0.012
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.522
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.017
Scholarly communication0.0150.010
Open science0.0020.005
Research integrity0.0100.013
Insufficient payload (model declined to judge)0.0310.005

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 head0.199
GPT teacher head0.431
Teacher spread0.232 · 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
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

Citations34
Published2011
Admission routes1
Has abstractyes

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