The Customer Isn't Always Right: Exploring the Protective Ambit of the Employment Protection in the Ontario Human Rights Code through Customer-on-Worker Harassment
Bibliographic record
Abstract
This thesis argues that the "right to equal treatment with respect to employment" under section 5(1) of the Ontario Human Rights Code extends to protect workers from customer harassment. In so doing, this thesis aims to provide an account of section 5(1) and the way in which it imposes duties on parties who do not fit the traditional definition of an employer. This project argues that the statutory language of section 5(1) demonstrates a legislative intent to cover relationships outside of the paradigmatic employer-employee relationship and that it is broad enough to cover customer-worker interactions. This thesis will further argue that there is sufficient proximity between customers and employees to justify extending a duty onto customers to refrain from harassment. Finally, this project demonstrates that broader policy considerations justify extending section 5(1) coverage to address customer-worker harassment.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.031 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".