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Record W3217477023 · doi:10.1080/0886571x.2022.2038340

“We are Still Running around with the Same Rules, but We are Not the Same We Were 20 Years Ago” – Exploring the Perceptions of Youth Justice Professionals on Secure Training Centres

2022· article· en· W3217477023 on OpenAlexaff
Claire Paterson‐Young

Bibliographic record

VenueResidential Treatment for Children & Youth · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsImpact
FundersUniversity of Northampton
KeywordsPerceptionEconomic JusticePsychologyTraining (meteorology)Public relationsApplied psychologyInternet privacyCriminologyPolitical scienceLawComputer scienceGeography

Abstract

fetched live from OpenAlex

Debates on the incarceration of children in residential settings has been ongoing for decades, with the United Nations Convention of the Rights of the Child and academic literature (Alston, 1994; Goldstein, Freud and Solnit, 1973; Anglin, 2004) acknowledging that custody is not in the best interest of the child. In England, the Social Services Inspectorate Report (1999) noted problems in placing children in Secure Training Centres and, nearly twenty years later, a BBC Panorama (2016) exposed the abuse of children at the hands of staff in the same Secure Training Centre (BBC, 2016). This paper examines staff' and other professional perceptions as to the purpose and direction of Secure Training Centres, youth custodial environments, through thematic analysis of semi-structured interviews with staff members employed in Secure Training Centres and other professionals in the youth justice sector (i.e. Social Workers, Youth Offending Officers and Managers). It seeks to identify perceptions on the purpose and challenge of Secure Training Centres in supporting children who have experiences adverse circumstances resulting in trauma. It illustrates the need for embedding trauma-informed ‘Child First’ approaches in Secure Training Centres, and youth custodial environments globally, to enable staff to adequately support children to build empowering relationships.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.997

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 studies0.0040.000
Scholarly communication0.0000.000
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 head0.077
GPT teacher head0.313
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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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