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Record W2969494914 · doi:10.3138/utq.88.2.14

“A New Global Poetics?” Revisited, Ten Years on: Coming to Terms

2019· article· en· W2969494914 on OpenAlexvenueno aff
Romana Huk

Bibliographic record

VenueUniversity of Toronto Quarterly · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPoeticsLiteratureHistoryWorld literatureEpistemologyPhilosophyAestheticsPoetryArt

Abstract

fetched live from OpenAlex

In “‘A New Global Poetics?’ Revisited, Ten Years on: Coming to Terms,” Romana Huk picks up where her earlier, lengthier essay by that name ended, considering the implications of new terms used in more recent arguments about “world literature” and reconsidering her own conclusions a decade ago. Whereas reservations about moving from “comparative” to “global” studies largely dominated her 2009 essay, here she proposes a way forward that takes its inspiration from experimental or “avant-garde” poetics and its tendencies in thinking rather than those of conventional literary studies. A survey of several recent conversations about “global” and “world” and “planetary” studies occurs along the way as she works towards some understanding of the implications of their language and arguments.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.032
Scholarly communication0.0120.023
Open science0.0010.006
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0050.001

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 head0.007
GPT teacher head0.226
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 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
Published2019
Admission routes1
Has abstractyes

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