Letters On The Move: Erín Moure and Chus Pato’s Secession/Insecession and Nathanaël (Nathalie Stephens)’s Absence Where As (Claude Cahun and the Unopened Book)
Bibliographic record
Abstract
In this essay I examine the space for exchange and dialogue opened by Erín Moure’s translation of Chus Pato’s Secession, which in its Canadian edition is published alongside Insecession, Moure’s own response or reciprocation to Pato’s text. I also turn to Nathanaël’s (Nathalie Stephens) relationship to a photograph of Claude Cahun and to the claim that in Cahun the author resembles herself. I argue that the eloquence of the inclination in both works, as each stages translation as a form of correspondence, suggests a failure of reciprocity and equivalences that denies the giving-over of one text to the other. Moure and Nathanaël thus underscore translation as a privileged site for reflecting on translation as a relationship text.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".