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Record W7162096004 · doi:10.82308/36488

An examination of the role of shame in the relationship between teen dating violence victimization and internalizing symptoms

2023· dissertation· en· W7162096004 on OpenAlexaboutno aff
Hongye Lyu

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsShameDating violencePoison controlHuman factors and ergonomicsAssociation (psychology)Injury preventionSuicide prevention

Abstract

fetched live from OpenAlex

This longitudinal study examined the relationship between teen dating violence (TDV), shame-proneness, and internalizing symptoms among high school students in Canada. Participants included 188 adolescents (Mage = 16.01, SD = 1.17, 58.5% girls) who reported having a dating partner at the first time point. A just-identified path analysis was conducted to investigate the role of shame-proneness on the relationship between three types of TDV (i.e., psychological, physical/sexual, and relational) and internalizing symptoms (i.e., psychosomatic symptoms and emotional problems). The results indicated that among the three types of TDV victimization, only psychological victimization predicted greater emotional problems and higher shame-proneness approximately eight months later. Shame-proneness fully mediated the effect of psychological TDV victimization on internalizing problems. Results also indicated significant sex differences in the association between TDV victimization and shame-proneness. Limitations, future study directions, and practical implications of these findings were addressed.Keywords: teen dating violence, shame, internalizing symptoms

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.034
GPT teacher head0.353
Teacher spread0.318 · 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
Published2023
Admission routes1
Has abstractyes

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