Bibliographic record
Abstract
Tait&s;s chapter focuses on a three-part holistic revisiting of the difficulties faced by Indigenous parents as they walk alongside their children as they navigate the school system. Braid One outlines struggles that Indigenous parents and students experience. This includes data and personal stories woven together to reflect the challenges both students and schools face. This includes personal reflections from the author&s;s, her mother&s;s, and her children&s;s experiences in schools. Braid Two shares a poem that brings to the surface the author&s;s own emotional state as she asks for progress and a better educational experience for her own children than she had for herself. The poem will reflect on anger and hope. Braid Three includes Tait&s;s reflections and response to the emotion of anger based on the guidance offered by the four directions teachings taught to her by Elder Bob Cardinal from Enoch Cree Nation and Dwayne Donald professor at the University of Alberta. This chapter is a collection of poetry, story, emotion, and reflection that speaks, directly and indirectly, to the questions of the practice and study of pedagogy as they relate to the holistic educational experiences of Indigenous parents and students. Tait&s;s chapter opens the section on Disruption as her story encapsulates the anger, the hope, and the love that emerges from confronting and disrupting the ways that our understandings have been colonized. In confronting the impact of colonization on our learning and our lives, the anger that emerges is healthy and can direct loving action towards embracing wholeness.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.027 | 0.010 |
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".