A Dignifying Shame: On Narrative, Repetition, and Distance in Anne Carson’s <i>Nox</i>
Bibliographic record
Abstract
Abstract This article examines the relationship between the form of Canadian poet Anne Carson’s Nox and its content, particularly as they relate to shame and subjectivity. As an elegy, Nox is as much about the person mourned – Carson’s long-estranged brother – as it is about Carson herself. Yet, even as the book hints at real personalities and the kinds of shame they experienced, Nox also lends a dignity to both, enacting therefore the protective measures of shame through both the aesthetics of the book and the narratives it recounts. As a study of shame, therefore, I argue that Nox writes of the self without relying on the construct of the coherent, core self. Nox illustrates the various shames a self can feel but also the way shame can emerge as an aesthetic or poetics independent of the feeling self.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".