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Record W4412428224 · doi:10.1177/15533506251361569

Gender-Related Discriminations in European Otolaryngology-Head and Neck Surgery: European Report

2025· article· en· W4412428224 on OpenAlexaff
Jérôme R. Lechien, Abdul‐Latif Hamdan, Antonino Maniaci, Miguel Mayo‐Yáñez, Giovanni Cammaroto, Krystal Kan, Maria Rosaria Barillari, Christian Calvo‐Henríquez, Stéphane Hans, Thomas Radulesco, Nicolas Fakhry, Justin Michel, Alberto Maria Saibene, Carlos M. Chiesa‐Estomba, Giannicola Iannella, Giovanni Briganti, Petros D. Karkos, Tareck Ayad, Paolo Boscolo‐Rizzo, Luigi Angelo Vaira, Cem Meço, Miroslav Tedla, Jan Plzák, Marc Remacle, H. Steven Sims

Bibliographic record

VenueSurgical Innovation · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineEthnic groupOtorhinolaryngologyFeelingSocioeconomic statusDemographySocial psychologyPsychologyPopulationPsychiatry

Abstract

fetched live from OpenAlex

Background Microaggressions are subtle verbal or behavioral insults (intentional or unintentional) that typically convey negative or hostile attitudes towards marginalized groups. We aim to study microaggressions and workplace culture amongst European otolaryngologist –head and neck surgeons (E-OTOHNS). The perception of “differential treatment” based on individual traits was used as a proxy for microaggressions. Methods European members of Young-Otolaryngologists of International Federation of Otorhinolaryngological Societies (IFOS) and Confederation of European Otorhinolaryngological Societies were surveyed regarding observed and personal experiences of microaggressions in the workplace as related to individual factors that comprise one’s identity; These factors included biological sex; disability; gender identity; language proficiency; citizenship; ethnicity; political belief; sexual orientation and socioeconomic status. Results A total of 230 E-OTOHNS completed the survey (17%), including 113 Women (49%) and 117 men (51%), respectively. The most common daily-to-monthly observed microaggressions were related to age (n = 177, 50.1%), biological sex (n = 105, 45.7%), and language proficiency (n = 67, 29.1%), respectively. Personal experiences of microaggression were related to professional rank (n = 80; 35.3%), age (n = 75; 32.6%), and biological sex (n = 63; 27.5%). Women self-reported significant higher proportions of personal experiences of microaggression related to ageage (40.7% vs 24.8%; P = 0.003), biological sex (41.6% vs 13.8%; P = 0.001), and professional rank (42.0% vs 28.7%; P = 0.049) compared to men. Similarly, Women self-reported higher rates of personal feeling of exclusion from their colleagues at the institution ( P = 0.036) than men and were more likely mistaken for another role in the hospital ( P = 0.004). Conclusions Woman European otolaryngologists, particularly those early in their careers, self-report higher proportions of observed or experienced microaggressions related to age, biological sex, and professional rank compared with male otolaryngologists. More efforts are needed in European academic Otolaryngology to reduce microaggressions, discriminations, and exclusions as more woman surgeons enter the medical workforce.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.053
GPT teacher head0.325
Teacher spread0.272 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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