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Record W4384068018 · doi:10.26522/brocked.v32i2.974

How do adolescent students and their teachers conceptualize classroom incivility?

2023· article· en· W4384068018 on OpenAlexaffvenue
Natalie Spadafora, Anthony A. Volk

Bibliographic record

VenueBrock Education Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsBrock University
Fundersnot available
KeywordsIncivilityPsychologyPerceptionConstruct (python library)Social psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Classroom incivility is an important construct to be addressed in relation to adolescent development. Therefore, the current study investigated similarities and differences between perceptions of adolescent students and teachers. Participants consisted of 40 intermediate and high school teachers and 52 students in grades 7-12. Both students and teachers rated how serious and how often uncivil behavior occurred in the classroom. Participants also responded to open-ended questions, allowing for a deeper exploration of their perceptions. Our results revealed that adolescent students consider uncivil behaviors that may be disrespectful towards the teacher as more uncivil than do teachers themselves. Teachers rated adolescents engaging in uncivil behavior towards each other as most serious, as well as discussing the negative implications of incivility to the learning environment. Taken together, the findings of this study are an important addition to the existing literature on adolescent incivility, while being directly applicable to the classroom setting.

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 score0.201
Threshold uncertainty score0.616

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)0.0010.000

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 head0.032
GPT teacher head0.340
Teacher spread0.307 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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