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Record W4404809161 · doi:10.1515/9781779400161

The Salmon Shanties

2024· book· en· W4404809161 on OpenAlexaboutno aff
Harold Rhenisch

Bibliographic record

VenueUniversity of Regina Press eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.388
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.231
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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