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Record W2770476016

‘Listen to us’ - Exploring the perceptions of young people on the impact of custody

2017· article· en· W2770476016 on OpenAlexaff
Claire Paterson‐Young, Richard Hazenberg, Meanu Bajwa‐Patel

Bibliographic record

VenueNECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsImpact
Fundersnot available
KeywordsPsychological interventionRecidivismPsychologyEconomic JusticeAnxietyPresentation (obstetrics)PerceptionSocial psychologyCriminologyPolitical scienceLawMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Persistent attention on children and young people in the United Kingdom has been characterised by the growing anxiety of threatening and rebellious young people, termed by Pearson (1983) as ‘respectable fears’. This growing anxiety has resulted in expansion of the youth justice system, with emphasis on developing effective and sustainable youth offending interventions to reduce recidivism and enhance outcomes for young people (Nevill and Lumley, 2011). The process for developing effective and sustainable custodial interventions rely on output and outcome data, with limited importance placed on understanding the wider impact (e.g. education, relationships, non-cognitive skills etc.). Using an adapted sequential research design, the researcher adopted a mixed methodological approach fuelled by a desire to facilitate the active participation of young people in custody. This conference presentation disseminates findings from the semi-structured interviews conducted with young people in custody. To ensure children and young people have a voice in the youth justice process, the researcher seeks to demonstrate how the perceptions of young people on impact can be useful for organisations engaged in youth justice interventions. This paper makes an original contribution to knowledge through the identification of suitable data collection methods for identifying the wider impact of custody, specifically in Secure Training Centres.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.054
GPT teacher head0.328
Teacher spread0.274 · 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 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
Published2017
Admission routes1
Has abstractyes

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Same venueNECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton)Same topicChild Welfare and AdoptionFrench-language works237,207