sîpîwan (it becomes a river): Becoming otâcimow (storyteller)
Bibliographic record
Abstract
In refusal of the division and limitations inherent within both the authoritative, passive voice of conventional writing and the boundaries of western academic disciplines and knowledge production, this storied and relational work explores interconnections between identity, language, land, and story through the processes and methods of nehiyaw kehte kiskeyitamowin nitotisakewin (cree wisdom-seeking) or Indigenous wisdom-seeking. Drawing upon the trailblazing work of four Indigenous scholars from across kânata (Canada), the roles and responsibilities of good storytelling and storylistening are shared and demonstrated through mâmawapiwin (circle process), illuminating how theory, method, and practice are naturally braided together through âcimowin (story) within Indigenous research methodology. Through the sacred wisdom-seeking and story pathways of nehiyawewin (the cree language), nehiyaw kiskinohamakewina (the cree worldview), isihcikewin (ceremony), wâhkôhtowin (all my relations), wahkomitowin (relational accountability to the natural world), and miyo opihkinawâsowin (growing children well), this (re)stor(y)ing work creatively weaves together and preserves individual and collective stories of decolonizing, healing, and becoming. By absencing (hu)mankind while still presencing the impact of colonial systems that were never designed with most of us in mind, this (re)imagined reality seeks to instead center the teachers and teachings of kâwînaw askiy (mother earth) embedded within the storied and layered wisdom-seeking journey of sîpîwan (it becomes a river), as well as the before-during-continuing âcimowina (life stories) of five wisdom-seekers. Ultimately, this work hopes to inspire a collective commitment to healing justice and cultivating spaces where stories and beings can thrive and live miyo pimâtisiwin (the good life).
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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 | 0.002 | 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 | 0.014 | 0.011 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".