Bibliographic record
Abstract
To read Rochester’s poetry as reflecting the trauma of war troubles the dominant narrative of his literary legacy. That the persona of those poems often presents a “fragmented self” and the world described is a chaotic, deeply disordered one are givens. To read these poems in the context of trauma studies can compromise two current truisms about his work: its honesty and its wit. For, if trauma narratives are largely significant for their “slippages,” for what they leave “unexpressed,” Rochester’s work, by contrast, is celebrated for its willingness to name what others refuse to. Rochester’s famed obscenity points to his courage to speak the unspeakable, to say what others can and will not. Rochester’s reliance on wit means his poetry operates according to principles of association rather than the troubling disassociation connected to trauma. Reading Rochester’s poetry as reflecting the trauma of war then complicates its status as poetry that critiques its culture—that names its excesses—rather than poetry which is so compromised by those atrocities as unwittingly to hide them.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".