Bibliographic record
Abstract
These two long poems address both embodied and encultured experiences of climate change in the Kelowna region of the Okanagan Valley and the Salmon Arm region of the Shuswap in the British Columbia southern interior. Both poems grapple with the fear of future-oriented thinking in a time of climate catastrophe while registering the long historical dimensions that inform that present fear. “Atmospheric Moon River” examines desire and beauty in the context of torrential rain and flooding that resulted in the deaths of several humans and many hundreds of farm animals. The poem updates old questions about the ethics of aesthetics when it comes to suffering in the present environmental context. The poem also draws a line from the first erotic love poem in English to the work of cultural theorists such as Michel Foucault and Judith Butler and “classic” Hollywood cinema. “Sweet Air” links a story of personal illness and the loss of reproductive potential to the drama and climate anxiety of dramatically unseasonable weather. In “Sweet Air” the interlocutor of the poem has portions of her fallopian tubes removed to protect her from future illness resulting in the loss of an imagined future. That loss plays out against the backdrop of climate uncertainty and the resulting troubling of broader imagined futures.
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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 | 0.000 | 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 | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".