Bibliographic record
Abstract
Aboriginal Title and Alternative Cartographies Indigenous claims have challenged a number of orthodoxies within state legal systems, one of them being the kinds of proof that can be admissible. In Canada, the focus has been on the admissibility and weight of oral traditions and histories. However, these novel forms are usually taken as alternative means of proving a set of facts that are not in themselves “cultural”, for example, the occupation by a group of people of an area of land that constitutes Aboriginal title. On this view, maps are a neutral technology for representing culturally different interests within those areas. Through Indigenous land use studies, claimants have been able to deploy the powerful symbolic capital of cartography to challenge dominant assumptions about “empty” land and the kinds of uses to which it can be put. There is a risk, though, that Indigenous understandings of land are captured or misrepresented by this technology, and that what appears neutral is in fact deeply implicated in the colonial project and occidental ideas of property. This paper will explore the possibilities for an alternative cartography suggested by digital technologies, by Indigenous artists, and by maps beyond the visual order.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".