Bibliographic record
Abstract
Abstract This article describes moments of plant-induced enchantment during community-based environmental monitoring and ethnographic research in Treaty No. 8 sakâwiyiniwak territories. These multispecies ethnographic encounters while collaborating with Elders and friends from Fort McKay First Nation and Bigstone Cree Nation describe how sakâwiyiniwak ecological care is rooted in kinship. Moments of enchantment, or intense moments of noticing and “plant-thinking,” inspire new appreciation of the boreal forest and the many familiar plants that grow within it, illuminating the magic of muskeg tea, frog’s pants, and aspen. Written in the style of lively ethnography, this article focuses on plants of sakâwiyiniwak ceremonial, nutritional, and medicinal use. These plants are often overlooked or are described as nuisance weeds, despite being indigenous plants, by settlers whose decisions and natural resource extraction activities have a direct effect on the survival and well-being of these plants and larger ecosystems. Enchantment brings attention to the deep-seated settler biases against certain types of plants that are common or abundant or, more specifically, not of current commercial value.
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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 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".