Bibliographic record
Abstract
Felicia Hemans’s poetry is guided by an aesthetic of acute interestedness, but unlike most sentimental writers, Hemans treats feeling as something with epistemological value. This creates an interesting challenge in “The Image in Lava” since in the poem Hemans takes her sentimental stroll on the seemingly solid ground of natural science. In her rhetorical rendering of the ashen form of a mother and child, which was found during the excavations at Pompeii, Hemans suggests that the mother’s profound feelings yielded a highly romantic phenomenon: artless art. When Hemans rhapsodizes on the indestructible form of mother and child, whose love transcends mundane occurrences like death, her idealizing tendencies reveal an uncanny wisdom. The strange fact is that the forms of the mother and childhavedefied death. Hemans’s musing suggests an unorthodox theology: the immortal part of the mother and her child is not an interior soul that escaped the body at the moment of decease, but an exterior form that lingers amidst the ashes. By employing the conventions of sentimental literature in her response to a truly startling phenomenon—ahumanobject—she aims to authenticate feelings that have been caricatured as clichés. Sentimental discourse thereby becomes a tool for sounding the depths of feelings and discovering the parameters of humanness.
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 | 0.000 | 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 | 0.004 | 0.009 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".