A Review of Anna-Leah King, Kathleen O’Reilly, and Patrick J. Lewis’ (Eds.) (2024) <i>Unsettling Education: Decolonizing and Indigenizing</i> <i>the Land</i>
Bibliographic record
Abstract
Unsettling Education: Decolonizing and Indigenizing the Land (King, O’Reilly, & Lewis, 2024) focuses on decolonization, Indigenization and reconciliation for educators and students through addressing colonialism within the education system and academia. The authors each bring forth an abundance of knowledge and experience in the field of Indigenous education through the stories and words of Indigenous communities, Elders, Indigenous leaders, and Knowledge Keepers. Further, the authors provide an abundance of examples/teachings regarding Indigenous perspectives, theories, and teachings for current and future teachers to implement in the classroom. In addition, this book serves as a guide for non-Indigenous peoples to practice self-reflexivity, by reflecting on their own positionality and privilege while engaging with truth and reconciliation strategies through the stories and experiences of Indigenous scholars and educators. The book is comprised of eighteen chapters by twenty-nine authors (both Indigenous and non-Indigenous) and grouped into three sections.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".