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Record W7053553686

WILDLIFE VALUE ORIENTATIONS AND RECREATION CONFLICT: A FOCUS ON HUNTERS AND NON-HUNTERS IN ALBERTA, CANADA

2023· article· en· W7053553686 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2023
Typearticle
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationVisitor patternWildlifeTourismWildlife tourismValue (mathematics)Nature tourismExploratory factor analysisWildlife management
DOInot available

Abstract

fetched live from OpenAlex

Parks and other forms of protected areas are considered a vital tool in the effective conservation of biodiversity. These areas also provide important spaces for nature-based tourism and recreation (NBTR), where activities such as hiking, swimming, canoeing, and socializing with friends and family often occur. In some cases, hunting may also occur within a protected area, but there is little understanding of how such activities affect the experience and overall satisfaction of other recreationists (and vise-versa). While NBTR is a popular and growing industry, there is limited research in Canada about the values of tourists and recreationists and the conflicts which may occur amongst them within these shared spaces. Given this critical research gap, the goal of this thesis was to assess recreationists’ Wildlife Value Orientations (WVOs) within Cooking Lake-Blackfoot Provincial Recreation Area (PRA) in the province of Alberta, Canada, and to assess the extent to which (potentially incompatible) activities, such as hunting, are affecting visitor experiences in this PRA. To achieve this goal, two surveys were deployed, one for hunters (n = 363) and another for non-hunters (n = 173). The surveys included open and closed-ended questions that were statistically analyzed to identify and understand recreationist experiences with conflicts within the PRA and their WVOs. The WVOs identified through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were traditionalists (27.8%), mutualists (29.5%), distanced (22.2%), and pluralists (20.50%). Overall, the results revealed that hunters were more traditional and non-hunters tended to be more mutualistic. These findings indicate that hunters believe that the management of wildlife is for the benefit of humans, whereas non-hunters believe that wildlife deserve equal rights and care as humans. Social values conflict was revealed to be occurring more than interpersonal conflict; however, the conflicts that occurred amongst these two groups (hunters and non-hunters) were minimal overall. One major concern for managers that was revealed through the analysis is the potential effect that hunting has on non-hunting women’s experiences in the PRA. Some wWomen felt unsafe upon seeing hunters. This finding is important because related literature has revealed that women are highly motivated to visit protected areas and often drive the decision to visit such areas. Women also receive a broad spectrum of health and well-being benefits associated with experiences provided by protected areas. Other conflicts identified with non-hunting associated events are related to dogs chasing wildlife, people disturbing or feeding wildlife, which causes social values conflict with other recreationists who use the PRA. The thesis concludes with recommendations to support PRA management, including suggested communication and outreach activities, a new management plan for the PRA with issues surround conflict included, enhanced research and monitoring of motivations and satisfaction, and the development of new communication strategies to communicate the role of hunting more effectively.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0090.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.197
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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