Bibliographic record
Abstract
Daphne Marlatt lives in Vancouver, British Columbia. She is an iconic Canadian poet, novelist, theorist, little-magazine editor, and itinerant university instructor (creative writing, women's studies, and contemporary literature). She is the founding co-editor of Tessera, the bilingual journal of feminist theory, and has co-edited several other magazines. Since the 1980s, she has served as writer-in-residence at numerous universities across Canada and mentored at Sage Hill (Saskatchewan) and the Banff Centre for the Arts. Author of ten collections of poetry, her most recent book is The Given (McClelland and Stewart, 2008).Meredith Quartermain is best known as a writer of urban spaces and as an innovator of poetic form. Her Vancouver Walking (2005) won the BC Book Award for Poetry, and Nightmarker (2008) was a finalist for the Vancouver Book Award. Her poetry also includes the inventive and critically acclaimed Matter (2008) and Recipes from the Red Planet (2010). Her work appears regularly in magazines such as The Walrus, Canadian Literature, Matrix, and Prism International, and she is cofounder of Nomados Literary Publishers, which has published more than 30 books of contemporary writing.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.029 | 0.007 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.004 |
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".