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Record W1645370796

Resident attitudes and beliefs toward bison, disease and management in Wood Buffalo National Park

2015· dissertation· en· W1645370796 on OpenAlexaboutno aff
Alice Will

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2015
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Interactions Research
Canadian institutionsnot available
Fundersnot available
KeywordsNational parkWildlifeFocus groupWildlife managementGeographyPopulationCitizen journalismSocioeconomicsEnvironmental resource managementPolitical scienceSociologyBusinessMarketingEcologyDemographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This study investigates the human dimensions (HD) of wood bison conservation in Wood Buffalo National Park of Canada (WBNP). Use of a quantitative questionnaire uncovers Aboriginal and non-Aboriginal attitudes toward wood bison, disease, and management approaches. Focus groups with local Aboriginal community members revealed themes related to bison and their management in and around WBNP. These investigative instruments show that the majority of both Aboriginal and non-Aboriginal participants support the presence of wood bison in WBNP, despite prevalence of disease. This support extends to protection offered to wood bison through park management. There is low support for the destruction of the entire WBNP population as a means of managing disease. While there is consensus amongst Aboriginal and non-Aboriginal residents regarding the acceptability of various management options, Aboriginal residents consider bison more valuable for ceremonial, spiritual, economic, and food purposes than non-Aboriginal respondents. Strongly emphasized throughout the focus groups are issues of trust, communication, and participation between local Aboriginal groups and WBNP decision-makers. Wildlife managers in national parks are increasingly using public participatory approaches when making decisions in order to produce management plans that are more publicly acceptable. By identifying local perspectives regarding the management of diseased bison, this study brings interest group input into decisions regarding wildlife management, which is crucial to successfully implementing wildlife management decisions.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.309
Teacher spread0.277 · 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 designNot applicable
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

Citations2
Published2015
Admission routes1
Has abstractyes

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