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Record W3141450110 · doi:10.3390/soc11020029

Community Belonging and Values-Based Leadership as the Antidote to Bullying and Incivility

2021· article· en· W3141450110 on OpenAlex
M. Beth Page, Kathy Bishop, Catherine Etmanski

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocieties · 2021
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsIncivilityHumilityFeelingSocial psychologyWorkplace bullyingSociologyIsolation (microbiology)CivilityPsychologyCriminologyHarassmentPublic relationsPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

This article examines the role of community as an antidote to bullying and incivility. The question we ask our readers to consider is: Does cultivating a culture of belonging for all acknowledge a most basic human need that members of organizations seek to meet during their day-to-day work lives? Belonging can serve as an antidote to feeling othered, which sows the seeds of separateness, isolation, absence of community, bullying, and incivility. Examples of othering behavior operate along a continuum that normalizes bullying, incivility and can escalate to include racism, sexism, classism, and a range of other non-inclusive behaviors. This conceptual article draws on our collective experience as educators in leadership. With humility, we rely on our efforts to amplify values-based leadership, community belonging, and ways of knowing from long ago wisdom. We seek to cultivate communities of belonging among leaders in education and ultimately in organizations and communities that exist beyond the classroom. We advocate belonging as an antidote to othering behaviors that can include bullying and incivility and draw on literature to support our approach.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.202
GPT teacher head0.442
Teacher spread0.240 · 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