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Record W2001032747 · doi:10.2105/ajph.2014.302455

Public Health Agenda Setting in a Global Context: The International Labor Organization’s Decent Work Agenda

2015· article· en· W2001032747 on OpenAlexfundno aff
Erica Di Ruggiero, Joanna E Cohen, Donald C. Cole, Lisa Forman

Bibliographic record

VenueAmerican Journal of Public Health · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
FundersUniversity of TorontoHealth Research Board
KeywordsContext (archaeology)Work (physics)State (computer science)Power (physics)SociologyPolitical sciencePublic relationsPublic healthPublic administrationMedicine

Abstract

fetched live from OpenAlex

We drew on two agenda-setting theories usually applied at the state or national level to assess their utility at the global level: Kingdon's multiple streams theory and Baumgartner and Jones's punctuated equilibrium theory. We illustrate our analysis with findings from a qualitative study of the International Labor Organization's Decent Work Agenda. We found that both theories help explain the agenda-setting mechanisms that operate in the global context, including how windows of opportunity open and what role institutions play as policy entrepreneurs. Future application of these theories could help characterize power struggles between global actors, whose voices are heard or silenced, and their impact on global policy agenda setting.

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)0.026
metaresearch head score (Gemma)0.027
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0090.034
Scholarly communication0.0140.013
Open science0.0010.012
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.113
GPT teacher head0.348
Teacher spread0.235 · 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
GenreEmpirical

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

Citations18
Published2015
Admission routes1
Has abstractyes

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