The hummingbird & me: Experiences with shattering as a settler educator and emerging scholar
Bibliographic record
Abstract
I explore my experiences as a settler teacher and emerging scholar by unpacking time and place in the short children’s story The Little Hummingbird by Michael Nicoll Yahgaulanaas. I demonstrate my understanding with a hyperlapse video of traditional beading, a skill taught to me by local Indigenous Elders. I begin to unpack myself and others by centering myself as the hummingbird, the protagonist of the short story who continues to put drops of water on a raging forest fire, even though it will not put out the flames. In this retelling, I problematically view myself as a settler hero who is doing “good”, ignoring the ongoing nature of colonialism and the benefits I gain from the hierarchy of relations in Canada. In the second retelling, I become the fire destroying the forest. I recount the shattering of my settler-as-hero self-proclaimed identity, and begin to accept how I am complicit in colonial violence towards Indigenous peoples. By watching my hands work the pattern and beads, I physically depict the slow work necessary for arriving at the actualization of bigger possibilities for settler teachers and emerging scholars, like a hummingbird with a drop of water to douse fire.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".