Bibliographic record
Abstract
The idea of leisure is essential to understanding how laboring-class poets conceived of themselves as writers, what they imagined the activity of poetic composition to be, and what kinds of poetic forms they felt were available to them. Further, in their poems exploring the concept of leisure, laboring-class poets illustrate an historical link between the exploitation and oppression of nature and the exploitation and oppression of the lower classes of society. It is an exploitation that is represented in poetry primarily through the suppression of leisure and the devastation of the natural or rural spaces where such leisure had occurred. This essay examines the implicit prohibition of pastoral themes for laboring-class poets from the early eighteenth to the early nineteenth centuries. Whereas early-eighteenth-century laboring-class poets depicted nature as a georgic realm, rarely representing it as the space for leisure, for early nineteenth-century poets such as Robert Bloomfield, Ann Yearsley and John Clare, the pastoral becomes the space for the poet to claim his or her rights to leisure in nature and the leisure of poetry itself. The essay argues that the expression of their protests is encoded within the generic markers of the pastoral mode, in particular through their representation of sheep and shepherds.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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".