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Record W4307969868 · doi:10.1123/jpah.2022-0570

Science has no Borders, so Should Scientific Publishing: A Position Statement from the Journal of Physical Activity and Health

2022· editorial· en· W4307969868 on OpenAlexaff
Ding Ding, Valerie Carson, Ruth F. Hunter, Alejandra Jáuregui, Tracy Kolbe‐Alexander, Eun‐Young Lee, Jacqueline L. Mair, Grégore Iven Mielke, Adewale L. Oyeyemi, Andrea Ramírez Varela, Deborah Salvo, Katja Siefken, Rafael Miranda Tassitano, Esther van Sluijs, Pedro Curi Hallal

Bibliographic record

VenueJournal of Physical Activity and Health · 2022
Typeeditorial
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsQueen's UniversityUniversity of Alberta
Fundersnot available
KeywordsPublishingPosition statementStatement (logic)Health scienceScientific publishingPosition (finance)Physical activityScientific evidencePsychologyLibrary sciencePolitical scienceMedicineMedical educationComputer sciencePhysical therapyFamily medicineEpistemologyPhilosophyLawBusiness

Abstract

fetched live from OpenAlex

ISSN:1543-3080

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)0.012
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.996
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.041
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0040.002
Science and technology studies0.0050.004
Scholarly communication0.0180.006
Open science0.0040.002
Research integrity0.0210.034
Insufficient payload (model declined to judge)0.0240.030

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 head0.105
GPT teacher head0.419
Teacher spread0.315 · 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 designNot applicable
DomainEvaluation
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

Citations11
Published2022
Admission routes1
Has abstractyes

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