Sensation and Civility: Protecting the Confederation Family in Isabella Valancy Crawford’s Winona; Or, the Foster-Sisters
Bibliographic record
Abstract
More than a decade before publishing Old Spookses’ Pass and Malcolm’s Katie and other Poems, Isabella Valancy Crawford won the Hearthstone contest with Winona; Or, the Foster-Sister,” a novel that locates its story of love and mystery within a carefully representative Canadian geography. Descriptions of Winona’s various settings—backwoods Ontario, urban Toronto, bucolic banks of the St. Lawrence, and fashionable Montreal—are imbued with a post-Confederation nationalist fervor, and the family at the centre of the novel is itself a “confederation” of Scottish, Quebecoise, and Native members. Winona contributes to the literary project of English Canada which Daniel Coleman has potently termed “white civility,” but by outsourcing civility’s inherent violence it simultaneously draws attention to a structural ambivalence at the heart of civility itself.
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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 | 0.054 | 0.030 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".