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Record W3093482393 · doi:10.24193/cechinox.2020.38.05

Cosmopolitan Planetarity: Translating Multilingual Affectivity

2020· article· en· W3093482393 on OpenAlexaboutno aff
Sneja Gunew

Bibliographic record

VenueCaietele Echinox · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsRelation (database)GermanIndigenousColonialismAffect (linguistics)LinguisticsSociologySpace (punctuation)PsychologyAestheticsHistoryArtPhilosophyComputer scienceBiologyEcology

Abstract

fetched live from OpenAlex

As an umbrella term, the planetary has become a type of placeholder for many different ways of rethinking how the human and the non-human interact in relation to space and time (national time, colonial time, deep time). As well, when we engage with marginalized epistemologies associated with, for example, Indigenous and other nonEuropean cultures, what kind of planetarity is constructed then? And what types of affect does planetarity generate (for example, between the human and the in/non-human) in these contexts? Language and the necessity for multilingual translations of affective concepts are at the core of such questions. My paper will consider an uncomfortable cosmopolitan planetary affect in relation to the Inuit writer Tanya Tagaq’s Split Tooth, the Korean novelist Han Kang’s The Vegetarian and the Japanese German writer Yoko Tawada.

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)0.002
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0060.006
Open science0.0000.005
Research integrity0.0010.002
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 head0.051
GPT teacher head0.336
Teacher spread0.284 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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