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Record W1980625599 · doi:10.1080/02673843.2014.884006

Parent–child communication and adolescents' problem-solving strategies in hypothetical bullying situations

2014· article· en· W1980625599 on OpenAlexaff
Laura D. Offrey, Christina M. Rinaldi

Bibliographic record

VenueInternational Journal of Adolescence and Youth · 2014
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAssertivenessPsychologyScripting languageDevelopmental psychologySocial psychologyApplied psychologyComputer science

Abstract

fetched live from OpenAlex

The current study investigated (1) the types of solutions that students and parents generate in response to hypothetical bullying situations, (2) the effectiveness of the strategies, and (3) the effectiveness of strategies when considering parent–child communication. Two hundred twenty-five junior high school students and their parents were required to read four short scripts involving hypothetical bullying dilemmas and generate as many solutions as possible to solve each situation. Participants also filled out a parent–child communication questionnaire. Results revealed that the most common type of solutions provided by both students and parents were help-seeking strategies. Although students provided significantly more assertive solutions than parents, 41% generated at least one strategy that may worsen the situation. The overall effectiveness rating of solutions for students and parents fell slightly below effective. Finally, parent–child communication was associated with the effectiveness of solutions generated. Educational recommendations and future research steps will be 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.080
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.295
Teacher spread0.275 · 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 teacher head, 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

Citations70
Published2014
Admission routes1
Has abstractyes

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