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Record W7133022248

Youth at risk in the wilderness

2004· dissertation· W7133022248 on OpenAlexaboutno aff
Christopher J. Denny

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessPositive Youth DevelopmentTurnoverCohortSuicide preventionOccupational safety and healthPoison control
DOInot available

Abstract

fetched live from OpenAlex

Youth with behavioural problems are sometimes referred to outdoor education programs as part of their mandated rehabilitation. Objective. To compare adverse incident rates between mandated youth and voluntary youth participating in standardized outdoor wilderness education courses. Methods. Retrospective cohort study of youth at a school in Ontario (1996--1998). Individuals were classified as either referred for behavioural problems (mandated), or attending on their own initiative (voluntary) and followed for adverse incidents occurring on course (injuries, illnesses, or behavioural incidents). Results. 623 youth participated in 78 courses. Mandated youth (N = 149) were less numerous than voluntary youth (N = 474). Mandated youth were twice as likely to suffer an incident (OR 2.18, 95%CI 1.47--3.16). Results were confirmed by Kaplan-Meier analyses and remained significant in regression analyses. No deaths occurred. Discussion. Mandated youth were twice as likely to experience an adverse event as voluntary youth, despite both groups being removed from their home environments.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.252
Threshold uncertainty score0.502

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.398
Teacher spread0.371 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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