Walking on This Earth, Finding Belonging: Ruminations of an Unsettled Settler
Bibliographic record
Abstract
In this paper, I contemplate my positionality as a non-Indigenous settler of Scottish, English and German descent. I (re)visit places that have shaped my life-journey and engages in a thoughtful participation between language, land and my positionality as an emerging researcher within an Indigenist paradigm. I consider Regan’s (2010) concept of the unsettled settler, defined as non-Indigenous people learning to embrace the struggle to face truths of colonialism and the consequences of the Indian Residential School system. Through photovoice and poetic inquiry, I reflect on my own encounters with the land and more-than-human relatives as a way to disrupt colonial assumptions. Ruminations, pictures and a collection of poems invite an exploration of the curricular implications of land-based teachings and reconciling ways of knowing with the land. By delving into and sharing my own personal experiences on the land, I hope to invite non-Indigenous educators to consider their own positionality and relationship with the land as part of their response to the Truth and Reconciliation (2015) calls to action.
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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 | 0.010 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.030 | 0.036 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.021 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".