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Record W2146916193 · doi:10.7202/000530ar

Translation Studies and Psychoanalytic Transference1

2003· article· en· W2146916193 on OpenAlexaffvenue
Susan Ingram

Bibliographic record

VenueTTR traduction terminologie rédaction · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Ethics, and Existentialism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychoanalytic theoryPsychoanalysisInterpersonal communicationPsychologyEpistemologySociologyPhilosophySocial psychology

Abstract

This article charts parallel developments in theorizing conceptions of translation and psychoanalytic transference. The place of transference in the psychoanalytic models of Freud, Lacan, Deleuze and Guattari, and Jung is first elucidated and then related to a corresponding view of translation. These possibilities are found to be as theoretically suggestive in terms of providing models of intercultural interaction as the models of transference are in understanding interpersonal interaction. It concludes, with Jung, on a utopian note with a call for cultural coniunctio .

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: aff_core · design weight: 5595.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: conceptual
about Canada: no
confidence: medium

Theoretical essay relating translation theory to psychoanalytic transference; humanities theory-building, not a study of research practice.

GPT-5.6 (high)OUT
genre: conceptual
about Canada: no
confidence: high

This develops theoretical connections between translation and psychoanalysis, not a study of research itself.

Grok 4.5OUT
genre: conceptual
about Canada: no
confidence: high

Theory paper linking translation studies to psychoanalytic transference; humanities theory, not research practice.

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)0.016
metaresearch head score (Gemma)0.027
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 score0.016
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0070.051
Scholarly communication0.0080.016
Open science0.0020.010
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.270
GPT teacher head0.348
Teacher spread0.077 · 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

Citations8
Published2003
Admission routes2
Has abstractyes

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