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Record W2619826341 · doi:10.14430/arctic4647

Linking Social Values of Wild Reindeer to Planning and Management Options in Southern Norway

2017· article· en· W2619826341 on OpenAlexvenueno aff
Bjørn P. Kaltenborn, Mehmet Mehmetoglu, Vegard Gundersen

Bibliographic record

VenueARCTIC · 2017
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersNorges Forskningsråd
KeywordsSustainabilityNexus (standard)GeographyPopulationValue (mathematics)Diversity (politics)EcologyEnvironmental resource managementSociologyBiologyEconomicsDemography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.068
GPT teacher head0.403
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2017
Admission routes1
Has abstractyes

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