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The Importance of Parents and Other Caregivers to the Resilience of High‐risk Adolescents

2004· article· en· W2059464006 on OpenAlexaff
Michael Ungar

Bibliographic record

VenueFamily Process · 2004
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychologyPsychological resiliencePovertyPsychological interventionMental healthDevelopmental psychologyConstruct (python library)Ethnic groupNegotiationSocial psychologyPsychiatrySociology

Abstract

fetched live from OpenAlex

Relationships between 43 high-risk adolescents and their caregivers were examined qualitatively. Parents and other formal and informal caregivers such as youth workers and foster parents were found to exert a large influence on the behaviors that bolster mental health among high-risk youth marginalized by poverty, social stigma, personal and physical characteristics, ethnicity, and poor social or academic performance. Participants' accounts of their intergenerational relationships with caregivers showed that teenagers seek close relationships with adults in order to negotiate for powerful self-constructions as resilient. High-risk teens say they want the adults in their lives to serve as an audience in front of whom they can perform the identities they construct both inside and outside their homes. This pattern was evident even among youth who presented as being more peer-than family-oriented. The implications of these findings to interventions with caregivers and teens is discussed.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.017
GPT teacher head0.345
Teacher spread0.328 · 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

Citations192
Published2004
Admission routes1
Has abstractyes

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