Riparian romanticism: An ecofeminist exploration of the representation of rivers in late-eighteenth century poetry and romantic travel writing
Bibliographic record
Abstract
,This thesis is an exploration of the human-river relationship as it is depicted in Teisa: A Descriptive Poem of the River Teese, Its Towns and Antiquities by Anne Wilson, the Arun River Sonnet sequence in Elegiac Sonnets by Charlotte Smith, and Winter Studies and Summer Rambles in Canada by Anna Brownell Jameson. I implement ecofeminism in my literary analysis of these texts, utilizing Donna Haraway’s concept of “Situated Knowledges” and Val Plumwood’s discourse on dualisms as the focal points of my theoretical framework. Romanticist scholarship has tended to focus on William Wordsworth’s representation of rivers, forming a biased and generalized outlook on Romantic human-river relationships. My discussion of these three female authors seeks to expand current understandings of the Romantic human-river relationship and underscore the important and varying roles of rivers as they are represented in art, rhetoric and, broadly, human culture.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 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".