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Record W1505989583

“‘A Moon Without Metaphors’: Memory, Wilderness, and the Nocturnal in the Poetry of Don McKay”

2009· article· en· W1505989583 on OpenAlexaffvenue
Joanna Dawson

Bibliographic record

Venue˜The œjournal of ecocriticism · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWildernessPoetryNatural (archaeology)AestheticsLiteratureSpace (punctuation)PhilosophyEpistemologySociologyHistoryArtLinguisticsEcologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This article seeks to interrogate Don McKay’s body of poetry through the lens of his own critical writings, with a particular focus on poems linking representations of the nocturnal with his concept of “wilderness,” which he defines as the ability of all things to “elude the mind’s appropriations” (“Baler Twine” 21). In McKay’s poetry, night is variously the time of shape-shifting, de-materialization, memory, and non-empirical knowledge, all of which require a re-investigation of the division between inner and outer, memory and experience, and between naming and knowing. At the same time, the article highlights poetic strategies used by an artist who loves the natural world as much as, if not more than, the language in which he renders it. As such, the nuances that assert and describe “otherness” are sharpened; by the same token, the non-human wilderness and the one inherent in human systems of language are shown to imply one another. The uncomfortable space beyond empirical knowledge―and beyond the epistemological convenience of a dichotomy between self and other that such a mode of knowledge introduces—is one that the night forces upon the mind as the latter is reminded of “another gravity” that, even if unseen, remains at work. It is this explanation of the other as “another gravity” that informs much of McKay’s poetry, and that forms the basis for his critical writings about human relationships with the environment beyond mere relationships of utility.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2009
Admission routes2
Has abstractyes

Explore more

Same venue˜The œjournal of ecocriticismSame topicEcocriticism and Environmental LiteratureFrench-language works237,207