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Record W2198130774

To Make Sense of a World: Translation, Germaine Koh, Globalization

2015· dissertation· en· W2198130774 on OpenAlexaboutno aff
Chantale Potié

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2015
Typedissertation
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationAlienationContradictionPoliticsMeaning (existential)InterdependencePolitical scienceSociologyTranslation studiesEpistemologySocial scienceLawLinguisticsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This thesis proposes that Vancouver-based artist Germaine Koh’s (b. 1967) practice demonstrates the political and ethical dilemmas of translation within a globalized world. Here, translation is understood as a practice that aims to question means of navigating and interpreting through globalization’s afforded networks; it tries to make sense of global macro problem areas at micro levels. As I argue, Koh’s work tries to make sense of the social matter emerging from increasingly estranging geo-political, geo-economic, and geo-cultural realities. I have divided my text into four parts to I explore the ways in which Koh’s work performs acts of translation. In part one of this thesis, Translation: Prayers, I define and consider translation as the practice of interpreting and/or converting under two basic orders: 1) those that pertain to meaning and form; and 2) those that pertain to movement and positioning. In part two, Globalization: Alienation, I delineate the global world I am referring to and demonstrate how translation functions in terms of mobility. In part three, Social: Connections, I engage with Koh’s work to consider how globalization uses translation as a tool to foster both social alienation and social interdependency. And in part four, The Double Bind, I elaborate upon the central contradiction at hand, where translation surfaces as both the problem and the solution. Indeed, Germaine Koh’s work exposes the contradictions of translation and of globalization. In that translation is able to afford globalization its reach and ability to communicate across languages and currency, this text questions whether translation can accordingly perform critical efforts against globalization.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.067
GPT teacher head0.321
Teacher spread0.254 · 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.

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
Published2015
Admission routes1
Has abstractyes

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