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Record W7026878353

Atypical sexual experiences in male children and youth, a retrospective study

2000· other· en· W7026878353 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2000
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRetrospective cohort studyQualitative researchSexual intercourseSexual dysfunctionDiseaseMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

Survey data was collected toward examining atypical sexual experiences of male children and youth. The Sexual Experiences and Perceptions Questionnaire (SEP-Q) and the Trauma Symptom Inventory (TSI) were administered to a sample of 279 male students from a university population in British Columbia, Canada. Subjects were recruited from a first year psychology course and through advertisements placed on campus. Childhood and adolescent sexual experiences information provided by subjects was differentiated using five categories of age or authority based definition criteria. Self-reported perceptions and measures of trauma were compared using descriptive cross tabulations toward answering several questions about symptomology and perceptions of males reporting these experiences. The results for the different age and sexual behavior categories were represented within tables. Comparisons were noted regarding the affective perceptions of subjects to childhood sexual experiences with significantly older or authority positioned partners in relation to the gender of the sexual partner, the age difference between the subject and partner, the level of manipulation involved in the sexual encounter, whether or not the subject previously disclosed the sexual encounter, the subject's perception of abuse, and assessment of traumatic symptoms.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.470

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.156
Teacher spread0.152 · 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.

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
Published2000
Admission routes1
Has abstractno

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Same venueLibrary and Archives Canada (Government of Canada)→French-language works237,207→