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Record W4390144956 · doi:10.1080/13552600.2023.2292023

Development and validation of the MIDSA-SC scale

2023· article· en· W4390144956 on OpenAlexaff
Ann-Pierre Raiche, Manon Duval, Léanne Dauphinais, Raymond A. Knight, Jean‐Pierre Guay

Bibliographic record

VenueJournal of Sexual Aggression · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSexual coercionCoercion (linguistics)PsychologyScale (ratio)Convergent validityAggressionInternal consistencySocial psychologyClinical psychologySample (material)Sexual assaultPsychometricsPoison controlHuman factors and ergonomicsMedicineMedical emergency

Abstract

fetched live from OpenAlex

In recent years, a lot of interest has been devoted to the study of sexual coercion. Although the definition varies across studies, sexual coercion is generally defined as the employment of tactics to obtain sexual activity against freely given consent. Several measures of sexual coercion exist, however those measures present some methodological limitations. The purpose of this study was to create and validate a scale of sexual coercion using items from the Multidimensional Inventory of Development, Sex, and Aggression and assess its validity. The sample included 529 adult males who were incarcerated for a sexual offence. Results revealed that a 5-item version of the sexual coercion scale had the best psychometric properties, with good internal consistency, convergent and concurrent validity. Furthermore, the item response theory analysis shows that most items were considered difficult and that all items discriminate between individuals at different levels along the continuum.PRACTICE IMPACT STATEMENT The construction and validation of a sexual coercion scale would also allow for more appropriate programmes and interventions. A better understanding of the continuum (i.e. to understand the continuum as a continuum of tactics) would help educate individuals about inappropriate sexual behaviours and the concept of consent. To do so, professionals require appropriate instruments to accurately measure this complex problem.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.056
GPT teacher head0.350
Teacher spread0.294 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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