Coleridge’s Visions of 1816: the Political Unconscious and the Poetic Fragment
Bibliographic record
Abstract
Taking as its point of departure the little-known fact that Coleridge was jailed as a Jacobin pro-French spy during his Scottish tour of 1803, this article explores the issue of the relationship of the fragmentary poems he published in 1816 to the political and personal contexts in which they had been composed years earlier. It speculates that what makes a Coleridgean fragment a fragment is what is left out—contextual material that the author could or would not admit into the published text because it configured divided loyalties, about which he was ashamed and guilty. Contributing to a debate about the ideological function of significant absences in Romantic poetry that Marjorie Levinson provoked by her discussion of Wordsworth’s “Tintern Abbey,” the article argues that Coleridge came to practise textual severance—publishing poems and their contexts separately, as if unrelated to each other, so that their origin in writing about which he was guilty and anxious—on political grounds and personal—was not apparent. How conscious this severance was is, at this distance, undecidable: what is clear is that some of the context returned in disguised form, as if publication served unwittingly as a refraction of material that Coleridge had repressed; as a result, the published text contained more than Coleridge explicitly declared and, perhaps, knew.
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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 | 0.002 |
| Science and technology studies | 0.009 | 0.048 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".