Bibliographic record
Abstract
The intertextuality of Anne Michaels’s The Winter Vault may be found not only in recurrent themes and images from her earlier novel, Fugitive Pieces, and her poetry, but also in the inclusion of other writers in her novel. Mikhail Bakhtin’s theories of dialogism, chronotopes, polyphony, heteroglossia, and the carnivalesque; John Hollander’s study of echo and transumption; and Douglas Hofstadter’s notion of “strange loops” – all offer means of understanding Michaels’s allusions and structure in her novel. They also shed light on how her writing remembers historical trauma and eventually finds redemption through language, love, and empathy. The central characters in The Winter Vault witness the devastation of Nubian villages along the Nile and Canadian villages along the St. Lawrence River. By listening closely to echoes and stories of past destruction, these characters find solace in recreating the Canadian landscape. The intertwining of characters, histories, and landscapes returns to the origins of civilization to emerge in forms of healing and post-traumatic redemption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".