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Record W2168752923 · doi:10.7202/037352ar

Poetry as Knowing

2007· article· en· W2168752923 on OpenAlexvenueno aff
Barbara Folkart

Bibliographic record

VenueTTR traduction terminologie rédaction · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryLiteratureFunction (biology)PhilosophyArt

Abstract

fetched live from OpenAlex

Poetry as Knowing — Like the pure sciences, poetry is first and foremost a cognitive instrument, one of the most rigorous modes of knowing that exist. Everything about it is shaped by the search for insight, or even truth. Poets are no more in the business of "making pretty" than molecular biologists or computer nerds; they put us into un-mediated contact with the grid of the world, force us to dig deeper than ever before into the amorphous business of being. This they do by "making it new". Poetry is a "counter idiomatic" practise, one that grates against the words of the tribe, its received ideas and its verities. And "form" — whether "free" or forged out of constraints — plays an all-important part in making it new for us. Form is decorative only to the illiterate. For the competent receiver, it is acutely, intensely functional. By giving it form, making it new, forcing us out of the lexicalized varieties that have gone stale on us, poetry makes us feel our way to new truths, or to a gut knowledge of old ones. Hence the maïeutic function of poetry. The very fact that poetry is so intolerant of the already-said is what explains the irreplicability or what Berman referred to as la lettre and makes the poem refractory to translation. Yet, most practitioners conceive of translation as a way of replicating what's already there. It's hard to imagine a more anti-poetic stance.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.026
Scholarly communication0.0110.015
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0180.007

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 head0.108
GPT teacher head0.326
Teacher spread0.218 · 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 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

Citations28
Published2007
Admission routes1
Has abstractyes

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