Bibliographic record
Abstract
Psychological harassment is a pattern of acts or words intended to intimidate, offend, degrade, or humiliate. Harassment and bullying do not end in the playground. It has occurred throughout history in the workplace in many forms. Most of the study and law into workplace harassment has been concerned with sexual harassment. Non-sexual, psychological harassment has received attention only very recently. There is little Canadian legislation that directly addresses workplace bullying. The first anti-bullying law in North America was introduced in Quebec in 2004. Psychological harassment is defined as "any vexatious behaviour in the form of repeated and hostile or unwanted conduct, verbal comments, actions or gestures that affect an employee's dignity or psychological or physical integrity that results in a harmful work environment for the employee." A single serious incident of such behaviour with a lasting harmful effect on an employee may also constitute illegal harassment. Since there is no specific legislation in the other provinces, one might argue that persistent harassment is covered by provincial occupational health and safety legislation. For example, the 2001 amendment to Ontario's Occupational Health and Safety Act added "acts of physical or psychological violence, including bullying, mobbing, teasing, ridicule and any other acts or use of words that can reasonably be interpreted as designed to hurt or isolate a person in the workplace." The Act requires employers to develop written Codes of Conduct espousing respect and dignity, denouncing workplace violence, and establishing strategies and discipline to deal with workplace violence.
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 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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.066 | 0.014 |
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".