<i>Nox,</i> Unboxed: Anne Carson’s Uncommon Long Verse “Epitaph” (or Economies of the Unlost)
Bibliographic record
Abstract
Anne Carson’s Nox (2010) is a multi-form double elegy in memory of the poet’s brother, Michael, and of an elegiac precursor to Catullus’s “Elegy no. 101.” While Nox’s uniquely monumental form has invited analyses particularly by scholars of media studies and book history, this article focuses instead on Nox’s conceptualization at the intersection of elegy and epitaph. I argue that Nox’s peculiar contribution to contemporary elegy arises from its merging of the long poem elegy with the epitaph, resulting in a poetics of loss that is at once expansive and economical. As such, Nox embodies the paradox of an epitaph in long verse form, a form marked by a unique style of ironic economic rationalism. Further, I argue that Nox requires reading strategies that take into account both its materiality as a textual artefact and its simultaneous excess of that materiality, insofar as it can be read as a further unfolding from earlier phases of Carson’s work with elegy and epitaph, especially Economy of the Unlost (1999).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".