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Record W4415098717 · doi:10.1111/jfcj.70019

Trauma‐informed justice in child abuse cases: A literature review

2025· article· en· W4415098717 on OpenAlexafffundabout
Nicole Frenette, Janine Elenko, Jennifer Koshan, Naomi J. Parker, Gina Dimitropoulos

Bibliographic record

VenueJuvenile and Family Court Journal · 2025
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental HealthUniversity of Calgary
FundersAlberta Children's Hospital Research InstituteMitacsUniversity of Calgary
KeywordsRestorative justiceCriminal justiceChild abuseEconomic JusticeTransformative learningChild protectionPoison controlSuicide prevention

Abstract

fetched live from OpenAlex

Abstract Child abuse is a pervasive form of gender‐based violence that inflicts lasting trauma on its victims, their families, and their communities. Participation in the criminal legal system can exacerbate this trauma, particularly for children and youth experiencing intersecting and systemic inequalities. Trauma‐informed practices have emerged as a framework for various systems to recognize the effects of trauma and adapt interactions to promote healing and reduce re‐traumatization. This raises an overarching question of what the elements of a trauma‐informed approach to child abuse in the criminal legal system are. This article synthesizes the state of the literature and current practices as they relate to trauma‐informed approaches for children and youth victimized by child abuse who are engaged with the criminal legal system, focusing on the Canadian legal and policy context. We summarize the impact of legal system involvement for these children and youth and explore how trauma‐informed approaches are conceptualized within the criminal legal system, including restorative and transformative justice approaches. We also identify core elements of trauma‐informed approaches to the legal process in child abuse cases and the associated policy and practice implications for the criminal legal system. Lastly, we identify gaps in the literature and outline future directions and recommendations for research to expand knowledge and reduce system‐induced trauma for these vulnerable young people.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.370
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.315
Teacher spread0.297 · 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 designNot applicable
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
Published2025
Admission routes3
Has abstractyes

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