“Going Back to the Middle Ages”: Tracing Medievalism in Julia Beckwith Hart's St. Ursula's Convent and John Richardson's Wacousta
Bibliographic record
Abstract
”IT IS LIKE going back to the Middle Ages,” says minister Howitt, the protagonist of Lily Dougall's short story “Witchcraft,” commenting on the local belief in Cape Breton that witches spoil cows’ milk. This single mention of the medieval in the story suddenly brings a version of dark Old-World history – not so much infested by witches as, worse still, inhabited by people who believe such nonsense – straight into a late nineteenth-century modern, and yet obviously superstitious, Canadian town. As Cynthia Sugars observes, early Canadian literary discourse is permeated by a sense of lack – there is in Canada nothing that is medieval or spiritual: no decayed castle, no ghost. Still, as she argues, Gothicism, rooted in a fascination with the medieval, is ever-present in the Canadian cultural and literary experience. In her study, Sugars is concerned with the historical circumstances that accompanied the shaping of national identity in Canada and which coincided with the Gothic vogue in Britain and on the European continent. Somewhat paradoxically, these circumstances had to do largely with a perceived lack of the nation's own history, a basis upon which Canadians could found and define their nationhood and literature. As she writes, white settlers in Canada are “positioned as disinherited descendants of a Gothic past” (52), the country being at once too young to have been through an “ancient” and ghost-haunted phase of development, and spiritually too old, too progressive and too rational now to still undergo such a phase (53). As a result, early Canadian authors take recourse in Gothicism as particularly suitable for expressing their experience as well as producing and preserving the missing past. The Gothic romance serves to provide both credentials – representing a cultural-literary phase that, though critically unacclaimed, must be completed – and a “distant” history that the young Canada apparently lacks, whether it be projected on Quebec or on Nova Scotia (49–143). In so doing, it must be noted, early Canadian writers also effectively work to make medievalism a global phenomenon, partaking in the constant process of reinventing the Middle Ages in ways that suit present needs. The present project is concerned with early nineteenth-century Canadian Gothic, and thus with medievalism as transferred into Canadian literature by way of Gothicism.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.045 | 0.028 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".