Analyzing cumulative effects from human development on reindeer habitat in Sweden : an approach from Canadian caribou recovery planning
Bibliographic record
Abstract
Rangifer sp., also called reindeer or caribou, are characterized by their seasonal movements over the landscape, making them a good indicator for cumulative disturbance effects caused by human developments. This study integrates indigenous ecological knowledge from reindeer herders in northern Sweden to identify current proportions of developed reindeer range and to assess cumulative impacts of development on reindeer husbandry. Mapping revealed the study area as 16.3 % developed, within which 18.4 % of high-use areas were developed. Applying a minimum buffer distance from literature around all developments suggested impacts of 58.7 % on the winter range and 78.6 % on high-use areas. Without buffering forest harvest, impacts were 24.7 % and 24.2 % respectively. A resource selection function with herder-defined high-use area data highlighted the challenge and importance of integrating both social and ecological factors into future cumulative effects analysis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".