Interstitial Listening: Hearing “Voices” in the Scene of Translation
Bibliographic record
Abstract
This thesis sets out from a partial translation of Willy Apollon’s 1976 book, Le vaudou: un espace pour les “voix.” Apollon is a psychoanalyst from Haiti who has been developing the psychoanalytic treatment of psychosis in Quebec since 1981. In addition to the translation, it offers a theoretical reflection on translating that derives from concepts of voice and writing developed in Apollon’s book, which are then brought into relation with Henri Meschonnic’s notion of hearing and Pier-Pascale Boulanger’s notion of an “érotique du traduire.” The theoretical section threads a concept of the drive through the work of these three theorists to arrive at a perspective on translation that situates it in alignment with Apollon’s theory of the voice by way of Boulanger’s notion of the erotic. Meschonnic’s demand that the translator hear “the poem”—an inherent quality in a text that indicates the presence of the subject—is considered alongside Apollon’s demand that the “voice” be heard in a text. Finally, with the intention of incorporating Apollon’s concept of voice into a form of writing that reflects key ideas in the book, a research creation section takes the form of associative, intratextual writing that responds to the experience of translating Le vaudou: un espace pour les “voix,” while also working from the concept of voice theorized by Apollon, as well as concepts and methods taken from psychoanalysis that reflect Apollon’s later work in the field.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.040 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".