Deicing/Decolonizing: Hockey Histories in Canadian Contemporary Art
Bibliographic record
Abstract
Dr. Jaclyn Meloche completed an interdisciplinary PhD in Humanities (Visual Arts, Performance Studies, Art History and Communication Studies) at Concordia University in 2015. Since 2016, she has held the position of Curator of Contemporary Art at the Art Gallery of Windsor. Most recently, her curatorial projects include The Sandwich Project (2017), Downtown/s: The 2017 Windsor-Essex Triennial of Contemporary (2017), Isabelle Hayeur: Corps Etranger (2017), The Sandwich Project (2018), Deicing/Decolonizing: Histories of Hockey in Canadian Contemporary Art (2019), and Carol Sawyer: The Natalie Brettschneider Archive (2019). Between 2011–2014, she co-curated the touring exhibition Alma hosted by the Ottawa Art Gallery, the Varley Art Gallery, the Judith and Norman ALIX Art Gallery, and the Art Gallery of Windsor. Meloche is the editor of the forthcoming publication What is our Role: Artists in Academia and the Post-Knowledge Economy (YYZ BOOKS, 2018) and author of the forthcoming book chapters: “Camera Performed: Visualizing the Behaviours of Technology in Digital Performance,” (London: Palgrave Macmillan, 2017), “The Politics of Perception: Re/Constructing Meaning Inside the Frame of War,” (London: Palgrave Macmillan, 2018), and “Houses, Homes and the Horrors of a Suburban Identity Politic,” (London: Palgrave Macmillan, 2019).
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.055 | 0.030 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".