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Record W645731749

Attachment Hierarchies Among At Risk Teens and Psychological Adjustment

2014· dissertation· en· W645731749 on OpenAlexfundno aff
Antonia Dangaltcheva

Bibliographic record

VenueSummit (Simon Fraser University) · 2014
Typedissertation
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsPsychologyDevelopmental psychologyClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

The study examined the degree to which teens at high risk for behaviour problems rely on friends and romantic partners rather than parents to meet attachment needs and whether this affected their psychological adjustment. Participants were 158 adolescents recruited from youth custody settings and a mental health facility. Attachment functions shifted from parents to peers much earlier compared to previously published results based on normative samples. Only 9% of participants preferred their parents for proximity seeking, 18% for safe haven, 23% for secure base, and 17% reported separation distress. Males reported experiencing greater separation distress in relation to their parents than females. No other gender differences were found. For all attachment functions, adolescents who turned more to their romantic partners than to their friends or parents reported higher levels of internalizing symptoms. No significant differences were found for externalizing symptoms. Clinical implications were discussed including the necessity of attachment-based interventions.

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)0.001
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.309
Teacher spread0.291 · 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
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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