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Record W1497366757

Young Substance Abusers and Precarious Employment: Trajectories and Anchoring Dynamics

2006· article· en· W1497366757 on OpenAlexaffvenue
Pauline Morissette, Marie-France Maranda, Danielle Lessard

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsUniversité LavalUniversité de Montréal
Fundersnot available
KeywordsSubstance useVocational educationNarrativeSubstance abusePsychologyDrug abuserSample (material)Intervention (counseling)Dynamics (music)Social psychologyClinical psychologyPsychiatryPedagogyArt
DOInot available

Abstract

fetched live from OpenAlex

A study was undertaken to understand the chain of family, school, and employment factors that led a sample of young (18–30) psychoactive substance abusers into precarious employment situations, based on their personal narratives. Substance abuse was measured according to DAST-20 and SMAST scales. Three types of precarious employment trajectories emerged: concentrated precarization in a dynamic of inferiorization, integrated precarization (in either an identifi cation or a parentifi cation dynamic), and unexpected precarization in a dynamic of intensifi cation. A discussion of the results points to the importance of developing an integrated multilevel intervention approach in vocational counselling for this clientele.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.009
GPT teacher head0.239
Teacher spread0.231 · 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

Citations6
Published2006
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Counselling and PsychotherapySame topicChild Welfare and AdoptionFrench-language works237,207