Introduction: The CWCA/ACCR Conference on Transformative Inclusivity
Bibliographic record
Abstract
The CWCA/ACCR annual conference with the theme of Transformative Inclusivity was to have been held in London, Ontario, in May 2020.By April 2020, it became clear that gathering in person was not viable, and the conference was postponed to 2021.Across the world, 2020-2022 were the years of the pandemic, which made us acutely aware of bodily vulnerability as well as of ableism at the individual, governmental, and institutional levels.Across the world, but especially in the North American context, these were also the years that saw a revival of antiracist energy, in the wake of the grassroots protests sparked by the murder of George Floyd by American police, and by multiple similar incidents of white supremacist violence.In Canada, the discovery of unmarked graves in the homeland of the Tk'emlúps te Secwépemc Nation corroborated the narratives of residential school survivors and forced many settlers to finally acknowledge the realities and ongoing impacts of the genocide perpetrated on Indigenous Peoples in this country.In London, Ontario, where the editors of this special section live, in June 2021, four members of the Afzaal family were murdered for being racialized and Muslim by an angry white man.Writing centres could not remain secluded from the moral shock or the pedagogical and practical implications of these developments.As the pandemic unfolded, our worlds shrank to some degree, but at the same time we seemed to end up paying greater attention to social inequity all around us.We put on our masks and joined large public gatherings that mourned the people lost to these terrible events, and we grew more deeply conscious of the injustices that our "normal" lives normalized.The energy of protest flowed into many of the things we did during these years.In post-secondary
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.021 | 0.008 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.011 | 0.016 |
| Insufficient payload (model declined to judge) | 0.074 | 0.017 |
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".