Conflict Resolution at the University of Ottawa Faculty of Medicine
Bibliographic record
Abstract
In 1997 the University of Ottawa Medical School adopted a conflict-resolution policy for informally dealing with complaints of abuse, harassment and intimidation, sexual harassment, and scientific misconduct or misappropriation of intellectual property. In collaboration with the university's Faculty of Law, general conflict-resolution workshops were given for faculty and administration and mediation training was provided to medical faculty designated “complaint officers” under the policy. In this article, the authors describe the policy and training and then analyze the first major incident arising after the policy's implementation: the publication of disrespectful misogynist material in The Pelican, a medical student society newsletter. The Pelican incident is used as a “lessons learned” case study both in terms of its multiple outcomes and as an opportunity to pinpoint some important policy and practical considerations that emerged in implementing a conflict-resolution policy. The article also describes the results of a learning environment survey conducted after the Pelican incident.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.006 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.047 | 0.004 |
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".