Foreword: Leadership as an Equitable Mission in Canadian EducationalInstitutions
Bibliographic record
Abstract
Several weeks have passed since the chapters in this volume were written, and since then a number of potentially landscape-changing events have occurred. These events have the potential to influence the course of equitable leadership in Canadian educational institutions. One was the murder conviction of Derek Chauvin, the white police officer who pinned George Floyd, an African American man, to the ground for over nine minutes until he died. The entire event was captured on video, contradicting the erroneous initial police version that he died from medical complications The incident and subsequent video prompted outrage in the United States and around the world and was accompanied by demonstrations against racism generally and racist policing and judicial systems in particular For some, the guilty verdict in the case of Derek Chauvin represented a change in the trajectory of judicial decisions on police actions against racialized groups. Up until this time, the actions of law enforcement personnel in encounters such as this had, for the most part, been endorsed by judicial systems; there have been few convictions of police officers who have injured or killed racialized individuals. The most notorious of these not guilty verdicts was for the beating of Rodney King in the 1990s by members of the Los Angeles police, which was also captured in vivid detail on video.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.126 | 0.001 |
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; both teacher heads agree on what is shown here.
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".