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Record W2942689775 · doi:10.1123/shr.2018-0023

Local Perspectives on Sport Hunting and Tourism Economies: Stereotypes, Sustainability, and Inclusion in British Columbia’s Hunting Industries

2019· article· en· W2942689775 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSport History Review · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsPopularityTourismInclusion (mineral)SustainabilityEconomyPolitical scienceGeographyEconomic geographySociologyEconomicsSocial scienceArchaeologyEcologyLaw

Abstract

fetched live from OpenAlex

Over the last few years there has been an increase in the popularity of sport hunting as well as heightened editorial and social media coverage of conservation stories, leading to polarizing views on hunting for wildlife management. This research project takes a critical look at the core ethical practices that are imperative to the sustainability of hunting, from the perspective of local hunters in British Columbia. A community-based participatory research (CBPR) methodology was utilized and semi-structured interviews with resident hunters and Indigenous peoples were conducted in order to integrate the opinions of these two groups whom are key stakeholders in the success of the province’s hunting economies. Themes of stereotyping, sustainability and inclusion were discovered. It is apparent through this research that the integration of their perspectives and knowledge of the land is central to the sustainability of both the hunting industry and the environment despite circulating discourses on hunters and hunting practices.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.213
Teacher spread0.201 · 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