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Record W4292846575 · doi:10.3102/1443653

Incivility in the Academy: Using the I3 Model to Investigate Aggression in Higher Education

2019· article· en· W4292846575 on OpenAlexaffabout
Laurie-ann M. Hellsten

Bibliographic record

VenueProceedings of the 2019 AERA Annual Meeting · 2019
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIncivilityAggressionPsychologyComputer scienceApplied psychologySocial psychology

Abstract

fetched live from OpenAlex

Recent research suggests that workplace bullying and workplace incivility occur among academics and may threaten professional status, lead to social isolation, and may involve negative interpersonal exchanges and reduced morale in the workplace.Through autoethnography, duoethnography, and interviews, we examined the experiences of five female faculty in Higher Education in a Canadian university for factors that could lead to workplace bullying and workplace incivility.Thematic analysis using the I 3 Model as our theoretical framework identified eight factors that may contribute to workplace bullying and incivility.Results suggested that highly departmentalized colleges may lead to aggressive competition, which heightens workplace bullying and workplace incivility.Additionally, as workloads increase and funding opportunities have decreased, the competition for scarce external funding has created incivility between faculty members.To mitigate instances of workplace bullying and workplace incivility, faculty members cited the importance of cultivating collaboration and peersupport networks.

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)0.002
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 score0.075
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.044
GPT teacher head0.327
Teacher spread0.283 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

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