Linking Social Values of Wild Reindeer to Planning and Management Options in Southern Norway
Bibliographic record
Abstract
Norway is home to the last remaining populations of wild mountain reindeer (Rangifer tarandus tarandus) in Europe. Concerns over anthropogenic and natural drivers have led to change in the management regime from a population-based model to an area-based model. More complex management goals, increasing involvement of stakeholders, and larger management units call for improved knowledge about reindeer-related values. We examined the responses of 1000 respondents to 39 statements of attitudes and values associated with wild reindeer presence and the management situation in two reindeer regions of southern Norway. We used a partial least-squares path modeling approach to examine the nexus between the attraction of wild reindeer, sustainability concerns, utilitarian and non-utilitarian values, conflicts, and attitudes toward hunting. The results show that local concepts of the sustainability of reindeer are based on opinions about the ecological requirements as well as the roles reindeer can play in the social and economic development of the communities. The attraction of reindeer is a function of consumptive as well as non-consumptive objectives. Segments of the community with different consumptive orientations can share ideas about the attraction of reindeer, but diverge in their interpretation of the sustainability of the species. Improved knowledge about the diversity and complexity of value orientations associated with wild reindeer can be a useful tool for developing multi-objective management frameworks with a diversity of stakeholders who may share similar values and interests, although they have different experience and knowledge bases.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".