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Record W4411868493 · doi:10.1136/bmj.r1331

The United Nations political declaration on non-communicable diseases and mental health needs a just and action driven approach

2025· editorial· en· W4411868493 on OpenAlexaff
Alison J. Cox, Karen Milton, L Huber, Sonali Johnson, Antonis A. Kousoulis, Samhita Kumar, Joseph Mucumbitsi, Johanna Ralston, Radhika Shrivastav, Julia Tainijoki

Bibliographic record

VenueBMJ · 2025
Typeeditorial
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsInternational Society for Equity in Health
Fundersnot available
KeywordsDeclarationAction (physics)PoliticsPolitical scienceEconomic growthMedicineEnvironmental healthPublic administrationLaw

Abstract

fetched live from OpenAlex

Non-communicable diseases (NCDs) and mental health conditions are responsible for more than 43 million deaths annually. It is critical that the upcoming United Nations general assembly high level meeting triggers decisive and sustained action on NCDs, says the World Health Organization Civil Society Working Group on NCDs

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)0.021
metaresearch head score (Gemma)0.058
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.025
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.058
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0060.003
Science and technology studies0.0050.004
Scholarly communication0.0160.008
Open science0.0050.003
Research integrity0.0250.039
Insufficient payload (model declined to judge)0.0190.024

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 head0.055
GPT teacher head0.373
Teacher spread0.318 · 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
GenreEditorial

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

Citations2
Published2025
Admission routes1
Has abstractyes

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