Bibliographic record
Abstract
In light of the ongoing practice of non-Indigenous researchers conducting studies on Indigenous lands, new opportunities are needed for creative alternatives to fieldwork, along with an honest conversation about ethics, intent, and practices of place-based collaborative methods in Indigenous studies. In this paper, I explore the notion of story-listening as a creative methodological alternative to extractive methods for settler scholars in Indigenous communities. Through personal reflection, I argue that decolonizing research strategies should involve practices which minimize settler presence in, and demands on, Indigenous communities. A storied approach to research points to academic expectations of knowledge-production, which contribute to silencing Indigenous voices, while paradoxically setting Settler researchers as a privileged audience of Indigenous stories. Looking for told-but-unheard stories, I argue, is one way to find answers and guidance in research while respecting storytellers’ agency and challenging colonial origin stories. Methodological ideas for unheard stories are explored in three phases: hearing, listening, and sharing. All stages of story-listening involve care and respect for the storyteller.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".