8. The Legacy of Robert Sutherland and the History of Racism at Queen's University
Bibliographic record
Abstract
The history of racism at Queen’s University is extensive, hardly researched, and often forgotten by the members and alumni of this institution and community. The inaction of Queen's University to honour the financial donation which saved the university in difficult financial times and the legacy of its exceptional alumnus Robert Sutherland for 148 years is a telling example of this history. This poster is an artistic and educational piece on Robert Sutherland’s life, which balances providing information about dedications to him at Queen’s since 1997 with exposing Queen’s history of excluding the contributions of people of colour from its own history. As there is no visual representation of Robert Sutherland’s life, this pieceseeks to illustrate a subject who was “discovered” by students in the 1990s and whose legacy had thus been lost for over a century. These last two decades of efforts by students finally yielded the naming and dedicating of Robert Sutherland Hall on October 3, 2009. However, the originally adverse reaction of the Board of Trustees to the naming proposal and the exclusivity of the dedication event as put on by Queen’s Administration must not be erased purposefully or through the passage of time. These realities are incorporated into the piece so that “the students of Queen’s ensure [Robert Sutherland’s] legacy lives on and that the contributions of people of colour are never again forgotten.”
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".