MétaCan
Menu
Back to cohort
Record W2109561464 · doi:10.1002/nur.20104

Nurse editors' views on the peer review process

2005· article· en· W2109561464 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch in Nursing & Health · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsBlindingPeer reviewObjectivity (philosophy)WorkloadTransparency (behavior)NursingMedicineMedical educationPsychologyClinical trialComputer science

Abstract

fetched live from OpenAlex

A growing body of research challenges the inter-rater reliability of peer reviewers and the value of reviewer training or blinding in improving the quality of manuscript reviews, but double-blinded peer review of papers remains a relatively unexamined standard for nursing journals. Using data from a larger emailed survey, the views of 88 nurse editors on peer review were analyzed using content analysis. The majority of nurse editors reported that blinding was important in peer review, to maintain objectivity and avoid negative personal or professional consequences. The minority who saw potential benefits of open review valued increased transparency in the reviewing and editorial decision-making process. An excellent review was viewed as containing specific instructions on how the deficits in a manuscript might be remedied. Common weaknesses of reviews were lack of specificity and inappropriate focus. Virtually all editors provided some form of preparation or guidance to reviewers. Peer review has an impact on nurses' workload and careers, and training in writing and critique should be included in nursing education.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.237
GPT teacher head0.602
Teacher spread0.365 · 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