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Record W2114717135 · doi:10.1371/journal.pmed.1000385

Toward a Consensus on Guiding Principles for Health Systems Strengthening

2010· article· en· W2114717135 on OpenAlexafffund
Robert Chad Swanson, A M Bongiovanni, Elizabeth H. Bradley, Varnee Murugan, Jesper Sundewall, Arvind Betigeri, Frank Nyonator, Adriano Cattaneo, Brandi Harless, Andrey Ostrovsky, Ronald Labonté

Bibliographic record

VenuePLoS Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of OttawaInstitute of Population and Public Health
FundersUniversity of PretoriaYale UniversityGovernment of CanadaJohns Hopkins Bloomberg School of Public HealthBrigham Young UniversityMcMaster UniversityJohns Hopkins University
KeywordsGlobal healthAlliancePolitical sciencePublic relationsEconomic growthMillennium Development GoalsHealth policyMedicineDeveloping countryHealth careEconomicsLaw

Abstract

fetched live from OpenAlex

The Policy Forum allows health policy makers around the world to discuss challenges and opportunities for improving

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)0.275
metaresearch head score (Gemma)0.190
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.275
Threshold uncertainty score0.893

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2750.190
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0120.007
Science and technology studies0.0090.023
Scholarly communication0.0240.018
Open science0.0120.020
Research integrity0.0250.059
Insufficient payload (model declined to judge)0.0030.002

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 head0.126
GPT teacher head0.351
Teacher spread0.225 · 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.

Study designTheoretical or conceptual
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

Citations74
Published2010
Admission routes2
Has abstractyes

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