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Record W4407008006 · doi:10.12968/bjca.2024.0078

Improving equity through global research initiatives: continuing to CONNECT

2025· article· en· W4407008006 on OpenAlexaff
Maria Hayes, Sheila O’Keefe-McCarthy, Rosalie Magboo, Tracey Bowden, Jill Bruneau, Yingyan Chen, Rafaela Batista dos Santos Pedrosa, Karen L. Then, Richard van Valen, Suzanne Fredericks

Bibliographic record

VenueBritish Journal of Cardiac Nursing · 2025
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsToronto Metropolitan UniversityMemorial University of NewfoundlandUniversity of CalgaryBrock University
Fundersnot available
KeywordsEquity (law)MedicinePublic relationsPolitical science

Abstract

fetched live from OpenAlex

CONNECT is a network of nursing and allied professional researchers that focuses on strengthening collaborative cardiac surgery research through shared initiatives. In the final instalment of this five-article series, the authors discuss the future innovations that CONNECT is planning for its members, centring on global research initiatives.

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)0.085
metaresearch head score (Gemma)0.116
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.995
Threshold uncertainty score0.449

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0850.116
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0110.012
Scholarly communication0.0310.040
Open science0.0050.049
Research integrity0.0260.026
Insufficient payload (model declined to judge)0.0270.005

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 head0.046
GPT teacher head0.447
Teacher spread0.401 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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