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Record W4400926505 · doi:10.1177/14732254241260603

Joyriding Among Young First Nations Australians: Assessing Police Trust and Confidence Through the Lens of Youth and Key Stakeholders

2024· article· en· W4400926505 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueYouth Justice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
FundersQueensland Government
KeywordsKey (lock)Through-the-lens meteringPsychologyLens (geology)BusinessComputer securityEngineeringComputer science

Abstract

fetched live from OpenAlex

Young First Nations Australians typically distrust and are reluctant to cooperate with the police. This article discusses data from a pilot intervention programme regarding First Nations young people’s involvement in car theft and joyriding. We conducted seven in-depth interviews with young Australians – most of whom identified as First Nations Australians – and six key community stakeholders who helped to deliver the programme. Our findings indicate that both sample groups held negative and distrusting perceptions of the police which, for the young people, were often precipitated by perceived discriminatory and procedurally unjust encounters with the police. We argue that heavy-handed and discriminatory policing of young First Nations Australians may perpetuate youth offending and joyriding behaviours among this group. The article argues that the police should adopt more community-oriented policing approaches to build trust with young First Nations Australians.

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.

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)0.001
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 score0.216
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
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 head0.216
GPT teacher head0.390
Teacher spread0.174 · 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