The Haudenosaunee Ohén:ton Karihwatéhkwen Thanksgiving Address: Moving Beyond the Havoc of Land Acknowledgements
Bibliographic record
Abstract
Abstract This article aims to offer a broad theoretical engagement with the Haudenosaunee Ohén:ton Karihwatéhkwen (Thanksgiving Address) and the practice of giving thanks as a foundational Indigenous Knowledge education practice for elementary school age children. We propose a critical rethinking of the practice of the Land Acknowledgement and instead put forward the Thanksgiving Address as a way to center Indigenous Knowledge practices and education in school systems. We provide a brief overview of the history and practice of the Thanksgiving Address, and a critical examination of institutionalized land acknowledgments. The work of educators at the Jackman Institute for Child Study with land acknowledgements and the Thanksgiving Address offers insight into land and place-based pedagogical approaches that take up Indigenous knowledge education and challenges coopted practices of Indigenous education.
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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 | 0.819 | 0.686 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.880 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.000 | 0.462 |
| 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; both teacher heads agree on what is shown here.
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".