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Record W4409981786 · doi:10.1002/jad.12509

Modeling Changes in Classroom Incivility Across Adolescence

2025· article· en· W4409981786 on OpenAlexafffund
Natalie Spadafora, Elizabeth Al-Jbouri, Naomi C. Z. Andrews, Anthony A. Volk

Bibliographic record

VenueJournal of Adolescence · 2025
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIncivilityPsychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Classroom incivility is low-level antisocial behavior that disrupts the overall learning environment. It is an important behavior to be studied in adolescence, given its associations with other antisocial behavior (e.g., bullying), negative impact on the learning environment, and predicting later aggressive behavior. The current study examined the developmental growth of classroom incivility in adolescence. METHODS: = 559; 54% boys; Mage = 14.9 years) with data from an on-going longitudinal study collected between Fall 2022 and Spring 2024. RESULTS: Using growth curve modeling across ten timepoints of data collected over four waves of data collection, our findings suggested that the quadratic model fit our data best (compared to both a no-growth and a linear model). That is, our findings showed that classroom incivility increases in early adolescence, tapering off in the later grades (i.e., grade 11 and 12). CONCLUSION: Our results not only add important information about the developmental growth of adolescent classroom incivility to the current literature, but also provide insight that can be used by schools, suggesting that early adolescence might be a key developmental period for promoting civil behavior.

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)0.001
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 score0.054
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.336
Teacher spread0.310 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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