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Record W7098712138

The Northern Experience of Street-Involved Youth: A Narrative Inquiry L’expérience nordique de jeunes de la rue : Une enquête narrative

2016· article· en· W7098712138 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeNarrative inquiryIdentity (music)Narrative historyDiscourse analysis
DOInot available

Abstract

fetched live from OpenAlex

This research explored the experiences of 8 street-involved youth (4 male, 4 female) be-tween the ages of 20 and 27 living in north-central British Columbia. The analysis was carried out in 3 phases based on the narrative approach developed by Lieblich, Tuval-Mashiach, and Zilber (1998). The narratives represented the holistic experiences of the youth and the meanings they attached to their experiences. The 26 themes that emerged from the data were organized into 5 main categories representing the participants ’ expe-riences prior to street life, the challenges associated with being on the streets, supports, personal qualities, and moving on. Three overarching metathemes were interpreted from the youths ’ narratives: trauma, coping, and the essence of living. résumé Cette recherche a porté sur les expériences de 8 jeunes de la rue (4 garçons et 4 filles) âgés de 20 à 27 ans et vivant dans le centre-nord de la Colombie-Britannique. L’analyse était menée en 3 phases fondées sur l’approche narrative mise au point par Lieblich, Tuval-Mashiach, et Zilber (1998). Les narrations représentaient les expériences holistiques des

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.556

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0150.010
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0020.003
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 head0.029
GPT teacher head0.339
Teacher spread0.309 · 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 designQualitative
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
Published2016
Admission routes1
Has abstractyes

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