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Record W2075261509 · doi:10.1037/a0018571

Psychologists’ sexual education and training in graduate school.

2010· article· en· W2075261509 on OpenAlexaffvenue
Sarah Miller, E. Sandra Byers

Bibliographic record

VenueCanadian Journal of Behavioural Science/Revue canadienne des sciences du comportement · 2010
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPsychologyTraining (meteorology)Graduate educationGraduate studentsMedical educationApplied psychologyPedagogyMathematics education

Abstract

fetched live from OpenAlex

The current study explored the sex education and training that clinical and counselling psychologists receive during graduate school, practicum placements and internship. There were 162 psychologists who completed an Internet survey. Although nearly all participants had received some form of education related to sexuality during their graduate training, the depth and breadth of training was limited and was not related to how long clinicians had been practising. Modelling and feedback appeared to be underutilized as training methods. Participants reported more training related to sexual problems (e.g., sexual violence, sexual disorders) than healthy sexuality (e.g., contraception, STIs/STDs). Sexuality-specific training experiences but not participant characteristics (e.g., gender, religiosity) or cognitive-affective factors predicted the amount of sex therapy experience gained during graduate school. This suggests that training programs may be largely responsible for the (limited) amount of sex education and training received by students.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.380
GPT teacher head0.432
Teacher spread0.052 · 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
DomainIncentives
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

Citations65
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Behavioural Science/Revue canadienne des sciences du comportementSame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207