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Record W2018178776 · doi:10.3390/laws3030598

Cyberbullying at Work: In Search of Effective Guidance

2014· article· en· W2018178776 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLaws · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsLegislationPublic relationsTerminologyWork (physics)BusinessResource (disambiguation)Emerging technologiesSpace (punctuation)Internet privacyPolitical scienceEngineering ethicsLawEngineeringComputer science

Abstract

fetched live from OpenAlex

With rapid technological change has come a blurring of boundaries between personal and workplace space. Employers are challenged to develop guidelines and policies to direct the appropriate use of technology to maintain a civil workplace. Because of the lack of shared understanding, or even terminology, around the issue of cyberbullying, employers are seeking a response from lawmakers to assist with this issue. Lawmakers are reluctant to develop legislation prematurely, given the rapid change in the capabilities of technology, the diverse social norms about its use, and the uncertainty of the role and responsibility of employers in minimizing cyberbullying and facilitating a civil workplace environment. This Canadian study seeks insight into these emerging issues through in-depth interviews with human resource professionals representing diverse business and industry sectors.

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)0.001
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 score0.238
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.306
Teacher spread0.289 · 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