kistikwânihk êsko kitêhk: Storying Holistic Understandings in Education
Bibliographic record
Abstract
Learning alongside Dr. Dwayne Donald and Elder Bob Cardinal in a Holistic Understandings of Learning class held in Fall 2014 on Enoch Cree Nation evoked different ways of living well and wisely in the world. This course created a sacred place for the “four-part person” (mental, physical, emotional, and spiritual) to emerge, as we learned to pay deeper attention to the interconnectivity of creation in our educational practices. This multimedia métissage (Hasebe-Ludt, Chambers, & Leggo, 2009) combines life writing, readers’ theatre, and visual representations, weaving together our embodied responses to Elder Cardinal’s teachings. Each individual’s journey kistikwânihk êsko kitêhk (Cree: from head to heart) maintains its integrity and unique voice as it is intentionally woven into the Cree principles of meskanaw (pathway), miyo waskawewin (to walk in a good way), and the Blackfoot concept of aokakio’siit (being wisely aware).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".