Bibliographic record
Abstract
In "Thematizing the Subject from Gothicism to Late Romanticism," Slobodan Sucur takes Habermas's suggestion that "modern art reveals its essence in Romanticism; and absolute inwardness determines the form and content of Romantic art" and offers an analysis of a spectrum of primary texts in relation to the statement. The texts analysed range from Walpole’s The Castle of Otranto to Odoyevsky’s Russian Nights. The texts are analyzed in chronological fashion, in an attempt to see how the thematization of the subject shifts as the Early Gothic novel (Walpole, Radcliffe) develops into High Romanticism (Hoffmann, Maturin) and finally into Late Romanticism (Poe, Odoyevsky). There appears to be a gradual but perceptible shift from third- to first-person narration across this broad period. Consequently, the present study engages ideas of the sublime (Edmund Burke, Carl Grosse), the picturesque (Uvedale Price), and spatial constructs, and attempts to see the ways in which such ideas reconfigure the subject and are themselves reconfigured as the subject is further thematized during these significant years in which the Gothic novel is transformed into other Romantic and Late Romantic forms.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".