Land Management On Individually Held Lands Under The Indian Act Reserve Land Tenure System: Experiences from the Penticton Indian Band
Bibliographic record
Abstract
This paper is based on case study research with the Penticton Indian Band (PIB) that examined the land management implications of individual landholdings (Certificates of Possession, CPs) on First Nations reserves under the Indian Act, both historically and today. We summarize the history of the landholdings system on PIB's main reserve and report on how CPs impact PIB's contemporary local land management. We also discuss PIB's efforts to adapt its land tenure and management systems locally while continuing to operate within the overall land management framework of the Indian Act; efforts that make PIB's experiences particularly interesting for other First Nations and their land managers, federal officials and policy makers, and researchers. Our objective in this paper is to complement and broaden existing research on CPs by focusing on land management challenges from PIB's experiences.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".