Remembering Roger I. Simon: A Pedagogy of Public Possibility
Bibliographic record
Abstract
Roger Simon's scholarship bequeaths to theorists, teachers, and curators across Canada and beyond a theory of education that opens up responsibilities to past and present others. Writing the call for papers, we were struck by the deep and generative quality of Simon's legacy, which is mirrored in the diversity of papers included in this issue. The papers gathered for this special issue address many of the difficulties that he dared educators to hold in mind. What Simon opens are big questions for education in a time more often consoled by the promise of solutions, best practices, and evaluation. These are questions about the interpretive quality of knowledge, the meaning of responsibility, justice, and the role of pedagogy in the reparation of historical trauma. Indeed, Simon lived with questions as the ground of his pedagogy, and in their articulation, he leaves behind an absence that is brimming with potential to make social and historical knowledge matter.
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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 | 0.010 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.021 | 0.031 |
| Scholarly communication | 0.017 | 0.017 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".