"Formalizing" Land Tenure in First Nations: Evaluating the Case for Reserve Tenure Reform
Bibliographic record
Abstract
A proposal is currently being drafted by the First Nations Tax Commission to create a national First Nations Land Title System (FNLTS) for reserve lands in Canada. This paper examines the implications of the FNLTS proposal for some economic development outcomes across diverse First Nations communities. The authors aim to situate the theory underlying a FNLTS within recent international development scholarship on land tenure formalization, asking whether and under what conditions net benefits from tenure reform are likely to be realized. Their evaluation begins with a brief overview of the history of reserve land tenure in Canada, followed by a survey of the tenure regimes currently available to First Nations, thus providing context for suggested reforms. The second half of the paper draws on the experiences of Indigenous communities with tenure formalization in the United States, New Zealand, Australia, and South Africa. Overall, the authors conclude that the predicted economic outcomes of a FNLTS will depend heavily on historical, political, social and geographic factors unique to each community. First Nations will likely need to consider creative strategies for tenure reform tailored to their particular circumstances and traditions in order to meet economic development goals.
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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 | 0.015 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.026 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".