Bibliographic record
Abstract
Customary land tenure is normally not based on codified or statutory sources, but stems from customary traditions and norms. When westernised courts have to interpret and adjudicate these customary traditions and norms, the normal rules of statutory interpretation cannot be followed. The court has to rely on evidence of the traditional values of land use to determine the rules connected to land tenure. Previously courts in many mixed jurisdictions relied on common or civil law legal principles to determine the nature of customary land tenure and lay down the principles to adjudicate customary land disputes among traditional communities, or between traditional and westernised communities in the same jurisdiction. Many examples of such westernised approach can be found in case law of Canada and South Africa. The interpretation of the nature of customary land tenure according to common law or civil law principles has been increasingly rejected by higher courts in South Africa and Canada, e.g. in Alexkor Ltd v The Richtersveld Community 2004 5 SA 469 (CC) and Delgamuukw v British Columbia 1997 3 SCR 1010. This paper explores the methodology the courts should follow to determine what the distinctive nature of customary land tenure is. As customary land tenure is not codified or based on legislation, the court has to rely, in addition to the evidence of indigenous peoples, on the expert evidence of anthropologists and sociologists in determining the nature of aboriginal title (in Canada) and indigenous land tenure (in South Africa). The court must approach the rules of evidence and interpret the evidence with a consciousness of the special nature of aboriginal claims and the evidentiary difficulties in proving a right which originates in times where there were no written records of the practices, customs and traditions engaged in. The court must not undervalue the evidence presented simply because that evidence does not conform precisely with the evidentiary standards that would be applied in, for example, a private law tort case.
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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 | 0.016 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".