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Record W2050321840 · doi:10.1371/journal.pmed.0020207

Five Futures for Academic Medicine

2005· article· en· W2050321840 on OpenAlexfundno aff
Shally Awasthi, Jil Beardmore, Jocalyn Clark, Philip Hadridge, Hardi Madani, Ana Marušić, Gretchen P. Purcell, Margaret Rhoads, Karen Sliwa‐Hahnle, Judith Smith, Tessa Tan-Torres Edejer, Peter Tugwell, Tim Underwood

Bibliographic record

VenuePLoS Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsnot available
FundersSichuan UniversityMedical Research CouncilUniversity of East AngliaUniversity of California, DavisBen-Gurion University of the NegevUniversity of New South WalesUniversity of SouthamptonUniversity of PittsburghUniversity of IoanninaWest China Hospital, Sichuan UniversityUniversity of TorontoWorld Health Organization
KeywordsAcademic medicineGlobal healthGlobalizationPovertyFutures contractMedicineHealth carePolitical sciencePublic relationsMedical educationLawBusiness

Abstract

fetched live from OpenAlex

The Policy Forum allows health policy makers around the world to discuss challenges and opportunities for improving health care in their societies.

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)0.023
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.030
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0140.017
Scholarly communication0.0250.027
Open science0.0020.017
Research integrity0.0200.019
Insufficient payload (model declined to judge)0.0300.004

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 head0.233
GPT teacher head0.496
Teacher spread0.263 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations56
Published2005
Admission routes1
Has abstractyes

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