Bibliographic record
Abstract
Opening doors, dreaming awake, tracing networks of music and meaning, Marlatt’s poetry stands out as an essential engagement with what matters to anyone writing with a social-environmental conscience. Rivering includes poems inspired by the village of Steveston where, before the war, a Japanese-Canadian community lived within the rhythms of salmon on the Fraser River delta. Also gathered into Rivering : lesbian love poetry from Touch to my Tongue ; a transformance of Nicole Brossard’s Mauve ; passages from The Given , winner of the 2009 Dorothy Livesay Poetry Prize; a traditional “Kuri” song from the Noh drama, The Gull ; and an unpublished excerpt from the chamber opera “Shadow Catch.” Difficult, beautiful, heart-breaking realities of the twenty-first century are urgently immediate in selections from Liquidities: Vancouver Poems Then and Now . All of the poems speak to Marlatt’s poetics of place and of language as passage between distant or disparate human beings, and between human beings and the more-than-human world. The selections are framed by Susan Knutson’s deeply attentive critical introduction and by Marlatt’s “immediacies of writing,” a new lyrical essay investigating the act of writing. Closing with a walking meditation situated by her Buddhist practice, Rivering is both a “pocket Marlatt” and an introduction to one of the best poets of our time.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.342 | 0.165 |
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".