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Record W2080838234 · doi:10.1258/rsmmsl.48.3.203

Practitioner sex abuse: occurrence, prevention and disciplinary sanction

2008· article· en· W2080838234 on OpenAlexaboutno aff
Nathalie Jousset, Arnaud Gaudin, M Penneau, Clotilde Rougé‐Maillart

Bibliographic record

VenueMedicine Science and the Law · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsMisconductSexual misconductSanctionsDisciplineSexual abuseMedicinePsychiatryCriminologyPsychologySuicide preventionPoison controlPolitical scienceLawMedical emergency

Abstract

fetched live from OpenAlex

Studies put forward figures for male practitioner sex abuse of around ten per cent. This practice, which is contrary to medical ethics, is highly reprehensible in ethical terms. The assaults range from uninvited meddling in patients' sexual lives to proven rape and inappropriate touching. The majority of this type of abuse is perpetrated by psychiatrists, but in more recent times a growing number of cases have been uncovered involving general practitioners or obstetric gynaecologists. For the most part, the abusers are men, aged between 45 and 64, who are insufficiently trained in terms of the 'practitioner-patient' relationship, or who are suffering from a mental pathology or who are in a situation of personal or professional crisis. Raising awareness of this issue is the driving force behind the implementation of prevention strategies, based on initial and ongoing training for practitioners in France, whistle-blowing on fellow practitioners in the United States and professional help in Canada. Disciplinary sanctions are more severe than those given within the framework of non-sexual misconduct in the United States. In France, the Order of Practitioners does not appear to be taking its role of defending patients seriously, since it seldom issues anything more substantial than minor penalties.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.015
Scholarly communication0.0000.001
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 head0.050
GPT teacher head0.360
Teacher spread0.311 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations4
Published2008
Admission routes1
Has abstractyes

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