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Record W2801843724 · doi:10.17613/m64g4q

Coastal Flows: Situating Vancouver Poetry in the Americas

2018· article· en· W2801843724 on OpenAlexaboutno aff
Zane Koss

Bibliographic record

VenueHumanities Commons CORE (Modern Language Association / Columbia University) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryGeologyGeographyHistoryArtLiterature

Abstract

fetched live from OpenAlex

In a 1972 poem about Vancouver Island, Mexican writer José Emilio Pacheco wonders, "Acaso fue el Aztlán de las mexicas / De allí partieron siete tribus." Though Pacheco spent several years living in Vancouver during the late 1960s and early 1970s—and was published in a 1971 anthology of poetry "From Canada's Unofficial Languages"—his place in Canadian poetics is non-existent. At the same time, a group of young Vancouver-based poets associated with the poetry newsletter TISH formed a bond with the bilingual Mexico City journal El corno emplumado. In Steveston (1974), Daphne Marlatt—one of the members of the TISH group—traces histories of migration and settlement on the Pacific Coast that mirror Pacheco's interests and likewise demand an interrogation in a broader hemispheric context. I use this hemispheric re-contextualization to consider the ways in which the consolidation of the TISH poets as the key figures of the Vancouver poetry scene in the 1960s and 70s has limited critics' ability to read writers like Pacheco into Canadian poetry and—conversely—to read figures like Marlatt outside of Canadian literary history. I argue that the critical durability of a coherent TISH cohort helps to build—insofar as TISH poets found allies in El corno emplumado—and to resist the cultivation of a poetics of the Americas. Using the work of Pacheco and Marlatt, such a poetics will be concerned with flows of people and the environment situated deep history across the Americas.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.008
Science and technology studies0.0350.011
Scholarly communication0.0140.002
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.034
GPT teacher head0.229
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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
Published2018
Admission routes1
Has abstractyes

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