The Promise and Peril of Walking Indigenous Territorial Recognitions carried out by Settlers
Bibliographic record
Abstract
This article proposes that if the permission and guidance of local Indigenous groups is obtained, and their protocols observed, a collaborative physical act of settler, or Indigenous-settler walking across territory on which events are to be held may constitute a more constructive form of ‘territorial acknowledgement’ than a verbal statement read out at such an event. By drawing sustained attention not only to Indigenous land but also to Indigenous title, resources, and jurisdiction, and by pointedly underlining the actual land in question, walking territorial acknowledgements can help settlers to develop an embodied sense of place-in-relation. In so doing they can move forward both the relationality implicit in Indigenous territorial recognition and the claims territorial recognitions make on settler bodies. These walk-acts diminish the superficial ‘virtue-signalling’ and public performance of contrition which too often attach to such acknowledgements, threatening to render them obsolete.
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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 | 0.011 | 0.020 |
| 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 | 0.024 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".