Sexuality of urologist in training: Does cobbler always wear the worst shoes?
Bibliographic record
Abstract
INTRODUCTION: Sexuality is an integral part of well-being. Urologists are a population faced with a significant workload and stress that can affect their sexuality. The purpose of this study was to investigate sexuality in this population and assess factors that may impact it. METHODS: A cross-sectional study was conducted between May and July 2023 among French urology residents and fellows. Data was collected through an anonymous questionnaire sent by the French Association of Trainee Urologists (AFUF) via email. RESULTS: Out of 445 members of the AFUF, 196 trainee urologists responded. Among them, 130 (66%) respondents were satisfied with their sexual life, and 123 (63%) reported having one or more sexual encounters per week. In univariate analysis, factors significantly impacting the level of sexual satisfaction were gender (p=0.029), level of job satisfaction/well-being (p<0.01), level of professional burnout (p<0.001), and the existence of a romantic relationship. CONCLUSIONS: Young urologists are mostly satisfied with their sexual life. Gender, level of job satisfaction/well-being, and level of professional burnout are significant factors impacting the level of sexual satisfaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".