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Record W2153240847 · doi:10.1080/0145935x.2012.704784

Thinking and Doing Prevention: A Critical Analysis of Contemporary Youth Crime and Suicide Prevention Discourses

2012· article· en· W2153240847 on OpenAlexaff
Jennifer White, Lorinda Stoneman

Bibliographic record

VenueChild & Youth Services · 2012
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSolidaritySociologyPostmodernismPremiseNarrativeCrime preventionPrivilege (computing)Resistance (ecology)Moral panicSocial constructionismEpistemologyCriminologySocial sciencePoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

In this article, we have traced some of the dominant cultural narratives shaping current understandings of youth crime and suicide. We have aimed to show some of the ways that our received understandings of what the problem is and what should be done about it are social constructions that privilege a certain kind of scientific explanation. By starting from the premise that narrow, highly regulated approaches to studying these complex problems are bound to be inadequate we have argued that alternative ways of thinking, studying and doing prevention need to be considered. A number of theoretical frameworks, including constructionist, critical, and postmodern paradigms, have been identified as having a useful contribution to make. We conclude by recommending ways of thinking and doing prevention that capitalize on young people's wisdom, recognize more collaborative approaches to knowledge-making and community building, and enable multiple forms of critical engagement and resistance as well as engendering practices of hope and solidarity.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.748

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 integrity0.0000.000
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 head0.047
GPT teacher head0.351
Teacher spread0.303 · 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 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

Citations12
Published2012
Admission routes1
Has abstractyes

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