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Record W7060833328

Peer influence and non-suicidal self-injury in adolescence : exploring the role of co-rumination

2014· article· en· W7060833328 on OpenAlexafffund

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil Moisture and Remote Sensing
Canadian institutionsTrinity Western University
FundersTrinity Western University
KeywordsSocializationCorrelationPeer influenceDepression (economics)Peer groupPeer relationsPeer reviewSample (material)Sample size determination
DOInot available

Abstract

fetched live from OpenAlex

The main purpose of this study was to investigate the relationship between co-rumination and non-suicidal self-injury (NSSI) in a community sample of adolescents. Analysis of the data from 92 adolescent self-injurers, 51 female and 41 male, indicated that there was a significant, positive correlation of small effect size between adolescents’ level of co-rumination and their frequency of self-injury in the past year. When genders were examined separately, this positive correlation of small effect size remained significant solely for male participants. Contrary to expectations, co-rumination failed to moderate the relationship between depression and NSSI frequency, and stressful life events failed to moderate the relationship between co-rumination and NSSI frequency. Results from further post-hoc analyses and related research on peer socialization suggest possible reasons for these results and future research avenues. The strengths, contributions, and clinical implications of this study are also 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)0.001
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.002
GPT teacher head0.167
Teacher spread0.165 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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