Hunting by Early Modern Lule Sami Households
Bibliographic record
Abstract
Hunting was one of three pillars, along with fishing and reindeer husbandry in the early modern Sami economy, and understanding of Sami hunting has increased during recent decades. However, most research has concentrated on time periods before AD 1600. After AD 1600 and the initial formation of modern Nordic countries, hunting ceased to be the backbone of the overall Sami economy but continued as an integral part of household economies. Our aim is to advance understanding of early modern hunting in northwestern interior Fennoscandia. Using source materials including court rulings and historical accounts, we set out from a self-governance perspective focusing on how actors solved resource distribution with regards to hunting. We show that ecological differences between mountains and forest impacted decisions about hunting. From the 1500s to the end of the 1700s, hunting led to the extinction of wild reindeer and depopulation of fur animals, while small-game hunting for subsistence continued to be important. In the forest region, strong property rights to game developed when skatteland (tax land) was established and hunting became a private enterprise. We suggest that the institution of skatteland was a response to changes in Sami economy, and the transition from collective to individual hunting was a contributing factor.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".