Bibliographic record
Abstract
“More Precious Than a Coyote” examines the meaning of togetherness and acceptance of one’s identity in the life of a young Cree woman named Nica, who struggles to accept the ancestral powers passed down to her from her kokum. Nica’s powers manifest at an early age – dreams of animals and fruit. Her dreams are a power that she sees as alienating. Additionally, her own mother’s denial and abandonment of their Cree heritage and their ancestral powers push Nica inward while Kokum’s love and acceptance pulls Nica towards recognizing the preciousness of the power she holds and of where she comes from. As the narrative moves between the past and the present, Nica’s struggle continues from the time her powers manifest to the present time when her dreams are visited by a coyote. Interweaved within the intergenerational drama between Nica’s family is her complicated relationship with her ex-boyfriend, Darren. As Nica attempts to live a half-life of mundane routines – all in the hopes of quelling and detaching from her dreams – Darren’s sudden reappearance on her doorstep forces her to make a choice. Just like her mother and her kokum before her. Presented in absentia on April 27, 2020 at Student Research Day at MacEwan University in Edmonton, Alberta. (Conference cancelled) Faculty Mentor: Chris Hutchinson Department: English
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".