Bibliographic record
Abstract
This book is about poetry and the poetic in the cultures and literatures of Britain, Canada and the United States. Close reading is the primary method. The figures discussed in the book were born from 1911 to the post-war years after 1945. The volume proceeds from Marshall McLuhan as a poet through Douglas LePan, Ted Hughes, Leonard Cohen, Margaret Atwood, Thomas King and Forrest Gander to Hannah Lowe, Russell Leong, Marilyn Chin, Fred Wah (interpoetics, poetry and culture in Chinese diasporic poetry), Louis Riel, Pauline Johnson, Naomi McIlwraith (Indigenous and Métis poetry), Gaspar Pérez de Villagrá, Anne Bradstreet, Phillis Wheatley, Langston Hughes, Joan Kane, Russell Leong, Marilyn Chin and Forrest Gander (the multiple makings of poetry of North America). Here is a poetry of the North Atlantic world, a transatlantic poetics then and now. The book reads poetry and the poetic in terms of media, aesthetics, drama, criticism, music, interpoetics, diaspora, culture, diversity, and African, Asian and Indigenous poets.
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 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 | 0.002 | 0.006 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".