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Record W2793347502 · doi:10.1002/aet2.10097

Editorial Processes in Free Open Access Medical Educational (<scp>FOAM</scp>) Resources

2018· article· en· W2793347502 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

VenueAEM Education and Training · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPublicationProcess (computing)PublishingPsychologySkepticismCitationMedical educationOpen educational resourcesLibrary scienceComputer scienceMedicinePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Much of the skepticism toward online educational resources (OERs) in emergency medicine (EM) stems from the low barrier to publishing and a perceived lack of editorial rigor. Learners and educators have demonstrated unreliable gestalt ratings of OERs, suggesting a lack of capacity to consistently appraise these resources. The development of tools to guide clinicians and learners in the selection and use of blogs and podcasts is a growing area of interest. Disclosure of editorial process was identified in previous studies as an important quality indicator for OERs. However, little is known about editorial process in online EM resources and whether it can be reliably integrated into a critical appraisal tool. METHODS: Two reviewers assessed 100 top EM and critical care OERs for mention and description of editorial process and academic and nonacademic affiliations. Ninety-two sites were accessible for review. All sites were also contacted to attempt clarification of their editorial process. Inter-rater reliability for mention and description of editorial process was evaluated using Cohen's kappa, and the relationship between academic affiliation and disclosure of editorial process was assessed by odds ratio (OR). RESULTS: Eleven sites mentioned an editorial process, and 10 of these sites included a description. Five of the seven sites that responded to contact also described an editorial process. Inter-rater agreement was excellent for mention (κ = 0.90) and description (κ = 1.00) of editorial process. Eighteen sites listed academic affiliations and 21 sites had nonacademic affiliations. A greater proportion of sites with academic affiliations disclosed their editorial process compared to sites without academic affiliations (OR = 5.3, 95% confidence interval [CI] = 1.3-21.0; difference in proportions of 0.40, 95% CI = 11.6-60.8). CONCLUSIONS: Although transparency is lacking, editorial processes exist among OERs. Inter-rater reliability for disclosure of editorial process is excellent, supporting its use within critical appraisal tools.

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)0.002
metaresearch head score (Gemma)0.045
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.167
GPT teacher head0.496
Teacher spread0.329 · 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