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Record W2029943259 · doi:10.3390/admsci2010120

Global Responses to Chronic Diseases: What Lessons Can Political Science Offer?

2012· article· en· W2029943259 on OpenAlex
Chantal Blouin

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdministrative Sciences · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsCarleton University
FundersPublic Health AgencyPublic Health Agency of CanadaMcGill University
KeywordsSummitDiplomacyPolitical scienceContext (archaeology)Global healthAction (physics)PoliticsCollective actionEconomic growthNon-communicable diseaseDevelopment economicsPublic relationsMedicinePublic healthHealth careEconomicsGeography

Abstract

fetched live from OpenAlex

Designing and adopting a global response to address the rise of chronic diseases in both the industrial and developing world requires policymakers to engage in global health diplomacy. In the context of the recent United Nations’ High-Level Summit on Non-Communicable Diseases, the paper first reviews the rationale for collective action at the global level to address the rise of non-communicable diseases (NCDs), given the perceived limited cross-border dimensions of NCDs. Secondly, based on the social sciences literature studying policymaking at the domestic and international level, this article highlights recommendations on how to engage during the main phases of the policy process: agenda-setting, policy development and adoption.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0010.004
Open science0.0010.000
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 head0.120
GPT teacher head0.436
Teacher spread0.317 · 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