Corporate Governance in the #<scp>MeToo</scp> Era: A Compact, <scp>In‐Class</scp> Case*
Bibliographic record
Abstract
ABSTRACT With the rise of the #MeToo movement, workplace harassment has become an important board issue. Despite this, little has been written on the role that boards, and governance in general, should play in reducing the potential for employee harassment in the workplace. This compact, in‐class teaching case, which is based on an actual employee lawsuit in Canada, fills this gap by reviewing the role of the board in addressing employee workplace harassment. The case takeaways focus on the steps boards should take once they receive an employee harassment complaint, the policies and procedures boards must ensure are in place to protect their employees from workplace harassment, and the options available for students if they encounter workplace harassment in their future careers. The case concludes by reviewing best practices for recruiting board members as well as deciding on the future of the organization's president.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".