A Sami land‐claims settlement? Assessing Norway's Finnmark Act in a comparative perspective
Bibliographic record
Abstract
Abstract The Sami, the Indigenous peoples of Fennoscandia, assert ownership‐, use‐, and management‐rights to their traditional lands. Norway's 2005 Finnmark Act is the only legislation so far to broadly respond to those assertions. How to interpret the act has long been contested, and is now the subject of a legal case before Norway's Supreme Court. Despite parallels between the land‐rights assertions of Sami and those of Indigenous peoples elsewhere, and despite abundant legislation responding to Indigenous land‐rights assertions elsewhere, the Finnmark Act has seldom been analyzed comparatively. In this article, we study the act against the backdrop of Indigenous land‐claims settlements in Canada—the state where such legislation is most institutionalized. We find the Finnmark Act features many of the same institutional and procedural elements as Canadian settlements. However, we also find that in Norway those elements have been legally integrated, and practically implemented, in a different and less coherent way, rendering the act dysfunctional. We conclude by drawing lessons from the Canadian example to prescribe adjustments to the understanding and ongoing implementation of the Finnmark Act, to potentially put the accommodation of Sami land‐rights on a smoother path.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".