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Record W2931539158 · doi:10.5694/mja2.50131

Perspectives on double‐blind peer review from collectivist cultural contexts

2019· article· en· W2931539158 on OpenAlexaffabout
José Florencio F. Lapeña, Peter L. Munk, A Saw, Wcg Peh

Bibliographic record

VenueThe Medical Journal of Australia · 2019
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsEditor in chiefCollectivismJournal editorMedical journalManagementMedicineLibrary sciencePsychologySociologyPolitical scienceFamily medicineLawIndividualismComputer science

Abstract

fetched live from OpenAlex

Jose Florencio Lapeña is Editor-in-Chief of the Philippine Journal of Otolaryngology Head and Neck Surgery, Peter Munk is Editor-in-Chief of the Canadian Association of Radiologists Journal, Aik Saw is Chief Editor of the Malaysian Orthopaedic Journal, and Wilfred Peh is Advisor and former Chief Editor of the Singapore Medical Journal.

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)0.489
metaresearch head score (Gemma)0.682
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.511
Threshold uncertainty score0.630

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4890.682
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.009
Science and technology studies0.0150.037
Scholarly communication0.0310.016
Open science0.0070.017
Research integrity0.0090.014
Insufficient payload (model declined to judge)0.0270.008

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 head0.088
GPT teacher head0.420
Teacher spread0.332 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainEvaluation
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

Citations4
Published2019
Admission routes2
Has abstractyes

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