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PD49-02 GENDER AND INVITED AUTHORSHIP IN THE JOURNAL OF PEDIATRIC UROLOGY

2019· article· en· W2941838663 on OpenAlexaboutno aff
Jennifer Ahn, Margarett Shnorhavorian, Shannon Cannon, Kathleen Kieran, Paul A. Merguerian

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePediatric urologyUrologyGynecologyGeneral surgery

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyPediatrics: Health Services & Population Research (PD49)1 Apr 2019PD49-02 GENDER AND INVITED AUTHORSHIP IN THE JOURNAL OF PEDIATRIC UROLOGY Jennifer Ahn, Margarett Shnorhavorian, Shannon Cannon*, Kathleen Kieran, and Paul Merguerian Jennifer AhnJennifer Ahn More articles by this author , Margarett ShnorhavorianMargarett Shnorhavorian More articles by this author , Shannon Cannon*Shannon Cannon* More articles by this author , Kathleen KieranKathleen Kieran More articles by this author , and Paul MerguerianPaul Merguerian More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000556865.22929.2cAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Publications in academic journals have been associated with promotion and career advancement. In many specialties, women have been underrepresented as authors and editors in journals. To our knowledge, this has not yet been examined in the subspecialty Pediatric Urology, in which females comprise about half of the current fellowship graduates. Our objective was to evaluate the role of gender in invited authorship and editorial positions in the Journal of Pediatric Urology. We hypothesized that women’s roles have increased over time, but that women are underrepresented as compared with professional society membership. METHODS: We examined all issues of the Journal of Pediatric Urology from 2005 to August 2018, recording editorial board members and first and senior authors for all editorials and invited commentaries. Gender and country of institution were also recorded for each individual. The same was done for the 2017 Societies for Pediatric Urology membership. For unknown authors, we visited institutional websites and used internet search engines to determine gender. Descriptive statistics were performed, along with Cochran-Armitage trend test and chi squared test, with a p value <0.05 considered significant. All analyses were performed with STATA 14. RESULTS: A total of 143 editorials and 162 invited commentaries were identified within the study period, with numbers increasing each year. Overall, these publications had 448 first and senior authorships, of which 49 (11%) were female. The 448 authorships represented 177 discrete authors with 23 (13%) being female. Of the 898 board positions over the study period, only 7.0% were held by females. The proportion of female authorships increased over time (p = 0.007), while the proportion of board positions did not (p=0.278), Figure 1. In 2017, SPU membership was 16.9% female, while invited authorship from Canada and the US was 13.7% female (p = 0.137). Only 11.7% of the Canadian or US editorial board members were female during that year (p=0.049). CONCLUSIONS: Female invited authorship has increased over the past 13 years in the Journal of Pediatric Urology, nearly reflecting SPU membership in 2017. However, editorial board membership has lagged, indicating an opportunity for change. Source of Funding: none Seattle, WA© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e905-e906 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jennifer Ahn More articles by this author Margarett Shnorhavorian More articles by this author Shannon Cannon* More articles by this author Kathleen Kieran More articles by this author Paul Merguerian More articles by this author Expand All Advertisement PDF downloadLoading ...

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.262
Teacher spread0.242 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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