MétaCan
Menu
Back to cohort
Record W3187423338 · doi:10.1136/bmjgh-2021-006801

WHO needs reform: why and how Syria was elected to the WHO Executive Board?

2021· article· en· W3187423338 on OpenAlexaff
Tayseer Alkarim, Lia Harris, Abdullah Chahin

Bibliographic record

VenueBMJ Global Health · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNominationHealth boardExecutive boardCorporate governanceExecutive directorPreparednessPublic healthInternational Health RegulationsDirector generalPublic relationsBusinessPublic administrationPolitical scienceManagementMedicineNursingLawCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

### Summary box WHO is the global leader in international public health with roles which include detecting and responding to acute health emergencies, ensuring preparedness for emergencies by identifying, mitigating and managing risks, supporting the development of tools essential for outbreaks, and supporting the delivery of essential health services in fragile settings. WHO works with its 194 Member States, across six regions, and from more than 150 offices with headquarters in Geneva.1 Governance takes place through the World Health Assembly, which is the supreme decision-making body; and the Executive Board, which gives effect to the decisions and policies of the Health Assembly. The Organisation is headed by the Director-General, who is appointed by the Health Assembly on the nomination of the Executive Board. This Board consists of 34 technically qualified members elected for 3-year terms. The main functions of the Board …

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)0.016
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0190.008
Open science0.0010.006
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0240.003

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 head0.056
GPT teacher head0.447
Teacher spread0.391 · 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 designQualitative
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBMJ Global HealthSame topicHealth and Conflict StudiesFrench-language works237,207