Kēdzéntēdé Kedzedı: Aunties, Disestablishment, and the Making of Communiversitea
Bibliographic record
Abstract
This work is an exploration of identity in relation to land+, language, nation, community, clan, and family; or what I call my ecocentric relational identity and relational-determination. Weaving my identity through stories and language, this work reflects on a lifelong journey of learning and applying the teachings of Dena Au’nezen (the highest law of the Kaska Dena) and Dena K’eh (the Dena way) in my community and work. From the perspectives and experiences of being a long-time advocate for missing and murdered Indigenous women, girls, and two-spirit+ people and their families and survivors in the Yukon, nationally, and internationally, I articulate and examine tacit aspects of colonialism, ‘beneviolence’, and violence and speak to Indigenous experiences of resistance, antifragility, and survivance. This work, nested in the Kaska Dena community, seeks to rematriate Indigenous learning models and modalities, and introduces the concept of Denagogy1 (learning and leading from Dena K’eh), ecogogy (learning and leading from the land+), and ecocentric relational identity as foundational concepts. The dissertation in practice is presented in two parts: a narrative storytelling, and a digital educational model. Through the practice of dän känàdän äch’e (teaching) and känídän (learning) simultaneously, and the sharing of tea and stories, I have been gifted with the privilege of having a role in restory-ing the future through sharing a theory of decolonial living. This work introduces the practice of methodolotea as a formal research tool, deconstructing western approaches to teaching and learning while articulating the ways these have impugned and aspersed Indigenous teaching and learning methodologies and spaces as an act of genocide. Echō (Elders/highest teachers of Dena K’eh) often say Kēdzéntēdé Kedzedı̨̄ (we are all learning together) which is the conceptual midwife for introducing the model for what I call communiversitea in Kaska homelands. _____________________________________1 Auntie Dorothy Smith, witnessing, 2022
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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 | 0.007 | 0.009 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".