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Record W4376226114 · doi:10.17235/reed.2023.9691/2023

Gender differences in the authorship of Global Major Gastroenterology Society Guidelines

2023· article· en· W4376226114 on OpenAlexaff
Shiqi Li, Bei Luo, Jieyu Peng, Muhan Lü, Yan Peng, Xiaowei Tang

Bibliographic record

VenueRevista Española de Enfermedades Digestivas · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsCanadian Association of Gastroenterology
Fundersnot available
KeywordsMedicineGuidelineAffect (linguistics)Family medicineGender disparityInternal medicineDemographyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Gender differences remain a serious issue in the gastroenterology field, which negatively affect the career success and academic advancement of female gastroenterologists. In this study, we aim to identify gender differences in the authors of global major Gastroenterology Society guidelines. METHODS: We included six associations and collected guidelines published between 2003 and 2022. The genders of authors were determined and recorded for each guideline. Linear by linear association test was used to assess trends every 5 years. RESULTS: We included 210 guidelines and 461 authors. The proportion of female first and senior authors was 11.3% and 9.8%, respectively. The number of female first and senior authors in most societies has improved over the past 20 years, with the largest increase in the AGA. CONCLUSIONS: Women are still underrepresented among the authors of guidelines. Although gender differences have gained more attention in recent years, there are many obstacles to achieving gender equality.

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)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.138
GPT teacher head0.378
Teacher spread0.240 · 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
DomainIncentives
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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRevista Española de Enfermedades DigestivasSame topicDiversity and Career in MedicineFrench-language works237,207