Bibliographic record
Abstract
It may be that writing country can shift readers towards more positive relationships with the matter that surrounds and embeds them, if an awareness of the sentience of country increases the porosity of the bodies that ‘religiously’ read such topographies. Two productive revisions of Emily Brontë’s Wuthering Heights differently offer this kind of reading. The Canadian moors of Anne Carson’s prose poem, ‘The Glass Essay’ speak with the powerfully communicative Yorkshire moors of Wuthering Heights , through the affect of the other-than-human on their protagonists. Such dialogues liberate an always-becoming eco-divine of generative change. Kathy Acker’s ‘Obsession’ starts a whole new conversation in her transposition of Brontë’s moor to the crush of New York dreamscapes. As I consider the tension and the synergies between Acker’s urban wilderness and Carson and Brontë’s rural commons, I am becoming aware of the ethical risk in privileging matter of different kinds. Is it possible to write to the pulsating moor of urban environments in ways that approach the ecodivine and can this equally move readers to new ways of nurturing country? I approach this question in my novel The Dead Country and consider it directly in my poem, ‘Pulse Sating’.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".