Managing workplace bullying and harassment in the Canadian work context: same old, same old
Bibliographic record
Abstract
Purpose Canadian organizations started addressing workplace bullying and harassment in the 1990s. Proactive organizations have written policies, trained managers and employees, created a complaint process and conducted surveys. The objective of this study is to examine how effective these efforts by Canadian organizations have been. Design/methodology/approach Data for this research were collected through a survey administered to employees in Canadian workplaces ( n = 1,000), including managers ( n = 461). A stratified sample was used to facilitate a good representation of region, age, gender, sector and occupational level of working Canadians. Findings The survey indicated that some Canadian organizations continue to be negligent in addressing workplace bullying and harassment and that the problem is particular to large organizations, young employees and the private sector. Research limitations/implications The survey identifies that some Canadian organizations are still negligent in addressing workplace bullying and harassment. The problem is particular to large organizations, young employees and the public sector. Practical implications Senior and middle-level managers need to be aware that workplace bullying and harassment continue to occur in their work environment. Further, given that managers at times defer excessively to authority, the human resource (HR) department has a vital role in addressing workplace bullying and harassment. HR needs to establish a reputation among employees that their complaints will be taken seriously, and corrective actions will be taken. Originality/value This study examined the nature of workplace bullying and harassment in the Canadian context. The study found that organizations are still neglecting issues of workplace bullying and harassment and that there is a disconnect between what employees are experiencing and what senior management is professing is the situation. This disconnect is a continued liability for organizations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.035 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".