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Record W2093318984 · doi:10.1177/1541204004267784

Privation and Vulnerability to Victimization for Canadian Youth

2004· article· en· W2093318984 on OpenAlexaffabout
Lauren Eısler, Bernard Schıssel

Bibliographic record

VenueYouth Violence and Juvenile Justice · 2004
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPovertyVulnerability (computing)Context (archaeology)Positive Youth DevelopmentPoison controlCriminologyPsychologySuicide preventionHuman factors and ergonomicsSociologySocioeconomicsGeographyPolitical scienceDevelopmental psychologyEnvironmental healthComputer securityMedicine

Abstract

fetched live from OpenAlex

This study examines the complex nature of the association between poverty and victimization of adolescents. Based on a survey of 2,600 school-aged youth in the province of Saskatchewan, the analysis focuses on the effects of being poor on fear and victimization in school, noncriminal victimization outside of school, and overall criminal victimization. The results illustrate clearly that poverty places youth at psychic and physical risk. Importantly, though, the damaging effects of poverty on youth security are different for male and female youth, for Aboriginal and non-Aboriginal youth, and for youth living in urban, rural, and satellite communities and are dependent on the dayto-day context inside and outside of school. The findings support the necessity for a complex understanding of the relationships among poverty, crime, and victimization that include structural and geographical considerations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.369
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), 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
Published2004
Admission routes2
Has abstractyes

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