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Record W4396545397 · doi:10.2106/jbjs.24.00202

Assessing the Diversity of The Journal of Bone and Joint Surgery Editorial Boards

2024· editorial· en· W4396545397 on OpenAlexaboutno aff
Kanu Okike, M.F. Swiontkowski

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2024
Typeeditorial
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsTransgenderDemographicsDiversity (politics)MedicineInclusion (mineral)Ethnic groupLibrary sciencePsychologyDemographyPolitical scienceSociologyLawGender studiesSocial psychology

Abstract

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The first step in any effort to increase diversity is documenting the present state. In the fall of 2023, The Journal of Bone and Joint Surgery, Inc. (JBJS) embarked on an initiative to assess the diversity of the entire JBJS team, including the editorial boards across 6 journals, the Board of Trustees, and the staff. The initiative took the form of a survey, which was based on a questionnaire utilized by Salazar et al. in their assessment of editorial board diversity at 25 leading medical and scientific journals1. The JBJS survey was conducted anonymously. Among members of the JBJS editorial boards, responses were received from 111 (90%) of the 124 individuals surveyed. The results for these editorial board members are presented in Table I. Because the entire JBJS organization is committed to diversity, equity, and inclusion, the results for JBJS trustees and staff are also provided (see Appendix). TABLE I - Demographics of the JBJS Editorial Boards* Characteristic No. (%) Gender† (n = 111) Female 13 (11.7%) Male 98 (88.3%) Nonbinary 0 (0.0%) Transgender female 0 (0.0%) Transgender male 0 (0.0%) Prefer not to answer 0 (0.0%) Other 0 (0.0%) Race/ethnicity† (n = 111) Asian 21 (18.9%) Black or African American 4 (3.6%) Hispanic, Latinx, or of Spanish origin 2 (1.8%) American Indian or Native American 1 (0.9%) Pacific Islander 0 (0.0%) White 78 (70.3%) Prefer not to answer 5 (4.5%) Other 4 (3.6%) Age, in years (n = 111) <30 0 (0.0%) 30-39 8 (7.2%) 40-49 20 (18.0%) 50-59 28 (25.2%) 60-69 34 (30.6%) ≥70 20 (18.0%) Prefer not to answer 1 (0.9%) Sexual orientation† (n = 110) Asexual 2 (1.8%) Bisexual 2 (1.8%) Gay or lesbian 0 (0.0%) Straight/heterosexual 100 (90.9%) Queer 0 (0.0%) Questioning or unsure 0 (0.0%) Prefer not to answer 6 (5.5%) Other 0 (0.0%) Region (n = 111) U.S. Northeast 18 (16.2%) U.S. South 11 (9.9%) U.S. Midwest 15 (13.5%) U.S. West 24 (21.6%) Canada 5 (4.5%) Mexico/Central America 0 (0.0%) Europe 20 (18.0%) Asia 14 (12.6%) South America 1 (0.9%) Africa 0 (0.0%) Australia/Oceania 2 (1.8%) Prefer not to answer 0 (0.0%) Other 1 (0.9%) Specialty (n = 111) Basic science/pathology 1 (0.9%) Biomechanics 3 (2.7%) Elbow/shoulder 9 (8.1%) Foot/ankle 4 (3.6%) General 6 (5.4%) Hand/wrist 5 (4.5%) Hip/knee 18 (16.2%) Methodology/statistics 5 (4.5%) Oncology 7 (6.3%) Pain management 1 (0.9%) Pediatrics 16 (14.4%) Rehabilitation 0 (0.0%) Spine 10 (9.0%) Sports medicine 13 (11.7%) Trauma 13 (11.7%) Not applicable 0 (0.0%) Prefer not to answer 0 (0.0%) Career position (n = 111) Faculty position in academia 86 (77.5%) Physician (non-academic position) 8 (7.2%) Government or nonprofit organization 2 (1.8%) Physician assistant 10 (9.0%) Not applicable 1 (0.9%) Other 4 (3.6%) Academic rank (n = 109) Trainee 0 (0.0%) Lecturer 2 (1.8%) Instructor 0 (0.0%) Assistant professor 4 (3.7%) Associate professor 22 (20.2%) Professor 65 (59.6%) Professor emeritus 4 (3.7%) Not applicable 10 (9.2%) Prefer not to answer 0 (0.0%) Other 2 (1.8%) Editorial position (n = 111) Editor-in-chief 1 (0.9%) Deputy editor 36 (32.4%) Associate editor 52 (46.8%) Editor-at-large 2 (1.8%) Statistical editor 3 (2.7%) Editor emeritus 3 (2.7%) Not applicable 4 (3.6%) Prefer not to answer 2 (1.8%) Other 8 (7.2%) *Includes editorial board members across JBJS journals. Some respondents did not answer every question. Percentages are based on the number of respondents who answered that question, which is noted for each category.†Multiple selections per respondent were permitted. Some of the demographic variables examined in the editorial board survey, such as gender, race, and ethnicity, have been commonly assessed among orthopaedic surgeons in prior studies. For these variables, representation among JBJS editorial board members was generally found to be similar to that observed among orthopaedic surgeons as a whole, albeit with some exceptions. For example, individuals of Asian descent were found to comprise 18.9% of JBJS editorial board members compared with 6.7% of practicing surgeons, as documented in the most recent orthopaedic census2. Nevertheless, the representation of women (11.7%) and Black (3.6%) and Hispanic (1.8%) individuals on the JBJS editorial boards remains quite low relative to the population of patients treated by U.S. orthopaedic surgeons, which has been reported as comprising 50.4% women, 13.6% Black individuals, and 19.1% Hispanic individuals3. Other variables recorded in the survey, such as sexual orientation, have been less commonly assessed among orthopaedic surgeons previously. Although the representation of individuals identifying as heterosexual among JBJS editorial board members (90.9%) was similar to that among editors at top medical and scientific journals (88%)1 and the general population (87%)4, there were some differences in the representation of individuals identifying as asexual, bisexual, gay or lesbian, queer, questioning, and/or other. At JBJS, we consider the results of this survey to represent a baseline from which to grow and evolve. Specifically, we plan to administer the survey on a regular basis (every 3 years or so) to assess for changes over time. When readministering the questionnaire in future years, we hope to continuously improve the survey instrument to better measure the demographics at JBJS. For example, the current version of the survey instrument followed the lead of prior work1 by inquiring about gender but listing options typically utilized to describe sex (i.e., female, male, transgender female, and transgender male) instead of terms more appropriately utilized to describe gender (e.g., cisgender man, cisgender woman, transgender man, and transgender woman, in addition to nonbinary and other). Diverse companies are the most successful companies5. At JBJS, we view diversity as central to our mission of publishing the best possible research to guide clinical decision-making. We thank all of the editorial board members, trustees, and staff who took the time to complete the survey, and we look forward to the day when these editorial boards—as well as orthopaedic surgeons in general—will more closely reflect the population of patients whom we serve. Appendix Supporting material provided by the authors is posted with the online version of this article as a data supplement at jbjs.org (https://links.lww.com/JBJS/H926).

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)0.023
metaresearch head score (Gemma)0.087
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.087
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0100.006
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.040
GPT teacher head0.288
Teacher spread0.249 · 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".

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Citations2
Published2024
Admission routes1
Has abstractyes

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