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Record W1993047568 · doi:10.1521/jsyt.20.2.58.23040

Constructing Narratives of Resilience with High-Risk Youth

2001· article· en· W1993047568 on OpenAlexaffvenue
Michael Ungar

Bibliographic record

VenueJournal of Systemic Therapies · 2001
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNarrativeVulnerability (computing)Narrative therapyIdentity (music)PsychologyMeaning (existential)Psychological resilienceResilience (materials science)SociologyPsychotherapistSocial psychologyDevelopmental psychologyAestheticsComputer securityComputer science

Abstract

fetched live from OpenAlex

An alternative approach to therapy with high-risk youth who are difficult to engage in treatment is discussed. Borrowing from postmodern clinical techniques, therapeutic conversations are used to assist youth in their construction of health-enhancing narratives of resilience. These new identity stories challenge stigmatizing narratives of vulnerability that are constructed about high-risk youth. Three phases of therapy are discussed: reflecting on past and present life experiences to deconstruct their meaning; challenging the discursive power of those who see high-risk youth as mentally ill through the proposal of alternative narratives of resilience; and defining these youth as resilient through the sharing of their new narratives with their peers, family members, and community.

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)0.009
metaresearch head score (Gemma)0.011
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 score0.010
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0100.018
Scholarly communication0.0080.008
Open science0.0020.012
Research integrity0.0020.005
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 head0.020
GPT teacher head0.319
Teacher spread0.299 · 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

Citations47
Published2001
Admission routes2
Has abstractyes

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