Sexologist: The professional activities related to sexual assault and intimate partner violence in Québec
Bibliographic record
Abstract
This study presents the first part of a larger research project interested in the overall professional practice of graduates of the Department of Sexology at the Université du Québec à Montréal (UQAM). Its objectives were to describe the professional activities of these graduates in relation with sexual assault (SA) and intimate partner violence (IPV). Results indicate that more than half of sexology graduates devote a portion of their professional activities to SA and/or IPV and that over 20% of them spend at least a quarter of their time on these issues. Counselling and clinical practices are the fields primarily exercised in more than 50% of these activities. Most of these graduates work with victims and half with perpetrators. They mainly work in private practice or in work environments that do not specialize in the field of SA or IPV. Most have done an internship related to SA and/or IPV as part of their university education and nearly half attended a continuing education activity dealing with one or both of these issues. Few of the participants presented an interest in continuing education activities related to SA and IPV. The main themes reported were directly related to the clinical and counselling practices, while subjects of empirical and theoretical nature were less stated. This descriptive study brings knowledge about the work of graduates of the Department of Sexology at UQAM in regards to SA and IPV and demonstrates the importance of these issues in the profession of sexologist in Québec.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".