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Record W2153678019 · doi:10.7202/018825ar

Metamorphosis or Metramorphosis? Towards a Feminist Ethics of Difference in Translation

2008· article· en· W2153678019 on OpenAlexvenueno aff
Carolyn Shread

Bibliographic record

VenueTTR traduction terminologie rédaction · 2008
Typearticle
Languageen
FieldDecision Sciences
TopicDiverse academic research themes
Canadian institutionsnot available
Fundersnot available
KeywordsMetaphorSource textEpistemologySubjectivitySociologyLinguisticsPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Translation has been theorized as a process of metamorphosis, either as metaphor (replacing the original) or metonymy (substituting part for original whole). I propose an additional model for translation exchanges: the metramorphic processes described by psychoanalyst Bracha Ettinger. Ettinger expands the scope of interactions by describing maternal/late pre-natal infant relations as ‘subjectivity-as-encounter.’ Her focus on a ‘severality’ preceding autonomous subject positions overcomes the problematic self/other divide and helps us rethink the relation between source and target text. Ettinger posits ‘matrixial’ metramorphosis, which, unlike metamorphosis, does not involve total transformations; rather, it indicates expansion or development. Textually, this means that translations do not efface sources through equivalent matches or inevitable losses, but extend them through exchanges in which sources are still present within translations. An alternative to equivalence as the goal of translation and fidelity as the ethics of translation, a matrixial paradigm reflects the dependency of the source text on the translation, as well as the plurality of many texts prior to translation. A metramorphic translation practice amplifies source texts, mediating them through a less polarized and more interconnected perception of difference which is the grounds for a new feminist ethics.

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)0.009
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 score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.057
Scholarly communication0.0080.013
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.596
GPT teacher head0.477
Teacher spread0.119 · 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

Citations26
Published2008
Admission routes1
Has abstractyes

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