PATHWAYS TO UNDERSTANDING: "WÂHKÔHTOWIN" AS A RESEARCH METHODOLOGY
Bibliographic record
Abstract
ABSTRACT. "Wâhkôhtowin," a Cree word meaning kinship or the state of being related, is a fundamental concept for understanding Indigenous culture and traditional beliefs (Ermine 2001). This article describes how three researchers in western Canada incorporated this concept into a research project that compared Indigenous and non-Indigenous students' memories of learning to read and write. It is argued that this concept can be used as one way of incorporating Indigenous ways ofknowing within cross-cultural academic discourses and methodologies. PISTES DE COMPRÉHENSION: MÉTHODOLOGIE DE RECHERCHE « WÂHKÔHTOWIN » RÉSUMÉ. Le mot cri «Wâhkôhtowin» signifiant parenté ou lien est un concept fondamental pour la compréhension de la culture autochtone et de ses croyances traditionnelles (Ermine 2001). Cet article décrit la façon dont trois chercheurs de l'Ouest canadien ont intégré ce concept dans un projet de recherche établissant une comparaison entre le rôle joué par la mémoire dans l'apprentissage de la lecture et de l'écriture chez les étudiants autochtones et non autochtones. Selon les auteurs, ce concept peut servir à intégrer des méthodes d'apprentissage autochtones dans les discours et méthodologies éducatifs interculturels.
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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 | 0.049 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".