Bibliographic record
Abstract
Drawing on Freya Mathews’ panpsychism, David Abram’s ecophilosophy, and Robert Bringhurst’s thinking on wilderness and mythology, this chapter explores Mi’kmaw poet shalan joudry’s Waking Ground (2020b), a poetry collection that dwells on environmental concerns, Indigenous history, and transgenerational trauma stemming from centuries of colonialism in Canada. Sensitive to the potential of language to uncover a poetic order in reality, to the legacy and wisdom of her ancestors, and to the more-than-human world, joudry assembles a handful of ecopoems that ponder the entanglements of the human and the nonhuman through the lens of history and mythology. By cultivating a biocentric, environmentally sensitive attitude, joudry is not just gesturing back to the Mi’kmaw ecological wisdom and mythopoeic worldview of her people; she is also countering the mainstream commodification of nature by fiercely materialist, neoliberal, capitalist societies, by showing that there is another mode of existing in the world—one marked by humility, respect, and responsibility.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.027 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".