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 (McDonnell, del Rio, Eligon, & Hassan, 2021).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 (McDonnell et al., 2021;Trinh, 2021).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.The US has not been the only country immersed in issues of race and racism.Contrary to a common belief, Canada also has racism issues (Boutilier, Gillis, & Hasham, 2021;Bresge, 2021;Joy, 2021a); it has seen its share of incidents over the years, and in particular, in the past few months.One of these incidents involved the shocking murder of a Muslim family that was out for an evening walk in London, Ontario.Reports indicate that the accused, a twenty-two-yearold white male, drove his truck up onto the sidewalk, intentionally running down the family, killing four of them and seriously injuring the fifth, a nineyear-old boy (Casey, 2021).This was not the only tragic racially motivated event in recent years, however.There have been a number of incidents including the Foreword: Leadership as an Equitable Mission in Canadian Educational Institutions
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.043 | 0.008 |
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".