Bibliographic record
Abstract
On the Other Side(s) of 150 explores the different literary, historical and cultural legacies of Canada’s sesquicentennial celebrations. It asks vital questions about the ways that histories and stories have been suppressed and invites consideration about what happens once a commemorative moment has passed. Like a Cubist painting, this modality offers a critical strategy by which also to approach the volume as dismantling, reassembling, and re-enacting existing commemorative tropes; as offering multiple, conditional, and contingent viewpoints that unfold over time; and as generating a broader (although far from being comprehensive) range of counter-memorial performances. The chapters in this volume are thus provisional, interconnected, and adaptive: they offer critical assemblages by which to approach commemorative narratives or showcase lacunae therein; by which to return to and intervene in ongoing readings of the past from the present moment; and by which not necessarily to resolve, but rather to understand the troubled and troubling narratives of the present moment. Contributors propose that these preoccupations are not a means of turning away from present concerns, but rather a means of grappling with how the past informs or is shaped to inform them; and how such concerns are defined by immediate social contexts and networks.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.061 | 0.015 |
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".