Bibliographic record
Abstract
Harold Rhenisch’s poems balance the settler and Indigenous experiences of land and water in the Pacific Northwest A collection of shanties laid out in couplets that move between English and Chinook Wawa, The Salmon Shanties celebrates a poetic tradition deeply rooted in the West Coast. Harold Rhenisch explores memories of people, place, and of returning home, speaking the land’s names as a music of its own and creating a series of aural maps. Imbued with rhythms of Secwepemc grass dances, the colloquial chatter of the Canadian poet Al Purdy, and the spirit of poet and historian Charles Lillard, Rhenisch’s work sings of roots to the land lifted up by the sea into the sky—as if Ezra Pound had sung of Cascadia instead of Europe. Do not be in Mareuil and Périgeux tonight; it is 1912 no longer. We, the land’s singers, are walking the star road on the long way home with the crickets of a July evening above Tuc el Nuit, the burrowing owls of N’kmp, and the long memories of the dwarf shrews of Nighthawk. Breath cannot be denied. Poh cannot be forsaken. Ezra, shantie.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.039 | 0.006 |
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".