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Record W2261723493

Healing Connections: Rising Above the Gang

2009· article· en· W2261723493 on OpenAlexaboutno aff
Tania Lafontaine, S Acoose, Bernard Schıssel

Bibliographic record

VenueJournal of gang research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsCriminologyCompassionSociologyMeaning (existential)Economic JusticeIdeal (ethics)Suicide preventionPoison controlSocial psychologyPublic relationsPsychologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This study explored contemporary urban gangs through the perspectives of Aboriginal youth in Saskatchewan, Canada. Study results provided depth of understanding and compassion for the struggles of gang members; showed that public and popular cultural discourses about gangs are often definitionally misguided; and found that, despite popular opinion, gangs are not attractive or ideal social outlets. The youth revealed a profound understanding of why people join gangs, especially when their social networks and security are jeopardized. Findings suggest that gangs can create micro-communities for people in need, but gangs also tend to disintegrate the community at large, especially with respect to the police and the maintenance of social order. The importance of both parental and other forms of support in the lives of marginalized youth was demonstrated. A serious gesture toward dealing with gangs as a social problem must uncover avenues of support for youth who are healthy and assure that the police have a primary role to play in a strategy that promotes both justice and security. Noted is that the solutions to developing effective measures for gang reduction lie within those youth who are actively choosing not to join gangs, but whose lives are embedded in a quest for meaning. Data were collected from 30 Aboriginal children and youth between the ages of 12 and 25 from within the Province of Saskatchewan, Canada.

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)0.006
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.268
GPT teacher head0.556
Teacher spread0.288 · 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

Citations8
Published2009
Admission routes1
Has abstractyes

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