Bibliographic record
Abstract
Abstract This essay situates the repeating and echoing refrains of Austen’s Emma (1816)—of gruel, draughts, and fires; of ‘poor Miss Taylor’, and ‘poor little Harriet’—within the tradition of classical pastoral. It suggests that the pastoral forms Austen employs at once tend to escape notice and are crucial to understanding what the novel is about. The overhearing of Emma’s thoughts staged in the novel’s free-indirect narration, for example, is approached as a version of the third-person framing of first-person speakers to comic and ironic effect in the earliest pastorals, those of Theocritus, Virgil, and Ovid, as well as in Marvell’s Mower poems. Pastoral’s chief occasion concerns the encounter between poets and shepherds, sophisticated and simple, high and low—and readers and hearers. The many occasions of overhearing through which the novel includes its readers in its world, the friendship between Emma and Harriet, as between Knightley and Robert Martin, the speeches of Miss Bates, the reclusiveness of Mr Woodhouse—all suggest a pastoral poetics. The essay explores how the sense of a golden age of harmony and abundance that marks the daily round of life in Highbury foregrounds reciprocity, equity, and responsiveness, forms of recognition that challenge the rigid stratification and hierarchy of the world of which Austen writes.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".