A Pedagogical Venturing into the Three Sisters' Garden: Lessons of Attunement and Reciprocity in Education
Bibliographic record
Abstract
This paper explores the connections the authors make between their experiences in the classroom and the powerful work of Robin Wall Kimmerer (2013) in Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge, and the Teaching of Plants; specifically, her chapter entitled “The Three Sisters.” Through Kimmerer’s work, we interpret our own experiences within the classroom. We also draw upon Hans-Georg Gadamer’s philosophical hermeneutics in general and his notion of Erfahrung in particular. We were inspired by the author’s insights into how she happened upon a “new teacher” for her students. As a result, this paper explores her work, as it provides an image of what it is to be present among students while honouring the topic’s own being and becoming--staying open to its future possibilities not yet known. The pedagogical turn away from predetermined outcomes to reciprocity, interconnectedness, and relationships is examined in how they help us understand teaching and learning.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.027 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".