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Record W2985497738

Why Does Incest Occur? A Distinction Between Genetic and Sociolegal Incest

2019· article· en· W2985497738 on OpenAlexaffabout
Anusha Lalani

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPsychologySexual abusePoison controlHuman factors and ergonomicsDevelopmental psychologyClinical psychologyMedicineMedical emergency
DOInot available

Abstract

fetched live from OpenAlex

The present study compares and contrasts intrafamilial biological parent, intrafamilial step parent, and extrafamilial sex offenders who are ages 19 and older and have sexually offended against victims ages 12 and under, on several variables of interest. Sexual assaults reported to the Edmonton Police Service from 2010 to 2014 were included in the sample. The aim of this study was to explore whether there were distinct differences among the three groups. Based on past literature, we hypothesized the following: (a) Intrafamilial offenders will likely be older than their extrafamilial counterparts; (b) There is likely to be no difference in perpetrators’ sex; (c) Any difference in perpetrator’s ethnicity is uncertain; (d) The likelihood to reoffend will likely be greater for extrafamilial offenders; (e) Intrafamilial victims will likely be younger than extrafamilial victims; (f) There is likely to be no difference in victims’ sex; (g) Intrafamilial sexual abuse will likely last longer than extrafamilial sexual abuse; and (h) There will be greater delay in time to report abuse by intrafamilial offenders than extrafamilial offenders. We further expected to find that intrafamilial step parent sex offenders would reoffend more than biological parent sex offenders. The findings will be presented in this poster presentation.   Faculty Mentor: Sandy Jung Department: Psychology

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.817

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.091
GPT teacher head0.450
Teacher spread0.360 · 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 teacher head, 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
Published2019
Admission routes2
Has abstractyes

Explore more

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