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Record W3120915626 · doi:10.1177/0886260520985492

Reconsidering Reconciliation Within Families of Youth Who Sexually Offend

2021· article· en· W3120915626 on OpenAlexaffabout
Christine Gervais, Matthew S. Johnston

Bibliographic record

VenueJournal of Interpersonal Violence · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsConcordia UniversityUniversity of Ottawa
Fundersnot available
KeywordsRedressAccountabilityPsychologyRestorative justiceRecidivismThematic analysisHarmContext (archaeology)Qualitative researchCriminologySocial psychologyClinical psychologyDevelopmental psychologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

Research on youth sexual offending has focused primarily on its prevalence, risk factors, treatment interventions, and recidivism rates. Thus, there is a need to develop better understandings of the processes towards reconciliation (or the lack thereof) that occur in the context of the collateral consequences of such harm-generating behavior. This qualitative study presents parents' perspectives on the benefits and challenges associated with the implications and outcomes of reconciliation, and of its deprivation among sexually offending youth, victims and their relatives. We analysed in-depth, semi-structured interview data among 16 parents from 10 families in Canada using thematic coding procedures. The findings reveal that in the absence of reconciliation, both relationship repair and rehabilitation are hindered by miscommunication, bitterness, and confusion. By contrast, when meaningful reconciliation occurs, offending youth are better able to take responsibility for their actions, which in many cases led to victim validation and relationship restoration among all affected parties, including immediate and extended relatives. Our research points to the importance of restorative practices in both formal and informal attempts towards accountability, reconciliation, rehabilitation, victim redress, as well as family and community reintegration.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.068
GPT teacher head0.304
Teacher spread0.236 · 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 designQualitative
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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Interpersonal ViolenceSame topicPsychopathy, Forensic Psychiatry, Sexual OffendingFrench-language works237,207