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Record W4391886318 · doi:10.1093/jcag/gwad061.116

A116 PREVALENCE OF EDITORIAL BOARD MEMBERSHIP AMONG ORIGINAL RESEARCH PUBLISHED IN HIGH IMPACT GASTROENTEROLOGY-FOCUSED JOURNALS: A CROSS-SECTIONAL ANALYSIS

2024· article· en· W4391886318 on OpenAlexaff
Yash Verma, Michael A. Scaffidi, Nikko Gimpaya, A Li, Rishad Khan, Samir C. Grover

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicAdvances in Oncology and Radiotherapy
Canadian institutionsSt. Michael's HospitalQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsEditorial boardCross-sectional studyMedicineFamily medicineInternal medicineGastroenterologyLibrary sciencePathologyComputer science

Abstract

fetched live from OpenAlex

Abstract Background Editorial board members, as experts in their field, often publish relevant research in journals on which they serve. This combined role of “editor-as-author” may be a source for conflict of interest in the peer review process. In Gastroenterology-focused journals, the prevalence of instances for editor-as-author has not been explored. Aims To estimate the prevalence of editor-as-author among high impact factor (IF) Gastroenterology-focused journals. Methods We used a cross-sectional study design. We used InCites Journal reports to identify 30 Gastroenterology journals with the highest IF in 2020, wherein we included journals that had publicly accessible board membership that indicated the following: institution/city/country; and at least the first name initial and entire last name for editorial board members. We created a list of all editorial board members, excluding any emeritus editors and society representatives. Among these journals, we identified all original research articles using the Web of Science, wherein we excluded any editorial material, meeting abstracts, and clinical practice guidelines. Among these original publications, two authors then independently and in duplicate determined any instances of authors who had editorial board membership. The primary outcome measure was the prevalence of editors-as-authors. Secondary outcomes involved the number of editorial board members with first authorships and senior/corresponding authorships, as well as the number of articles that disclosed editorial board membership. Results Among the 30 Gastroenterology-focused journals that had the highest IF, 24 met the relevant inclusion criteria. These journals had a total of 6162 original publications, of which 992 (16.1%) had at least one instance of editor-as-author; 8 (0.1%) articles disclosed that there was editorial board membership among its authors. Among all 24 included journals, there were a total 2106 editorial board members. Of these members, 635 (30.2%) had at least one instance of editor-as-author, wherein 134 and 263 members were first authors and senior/corresponding authors, respectively. Conclusions Our study found that approximately one third of editorial board members among high IF Gastroenterology-focused journals were also authors in these same journals. Future analysis will focus on determining whether there is the difference in quality of published work compared to those without editorial board membership. Funding Agencies None

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)0.011
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.994
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.045
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.391
Teacher spread0.368 · 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 designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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