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Record W2167969645 · doi:10.1002/wsb.535

Differences in management action acceptability for coyotes in a National Park

2015· article· en· W2167969645 on OpenAlexafffundabout
Carly C. Sponarski, Jerry J. Vaske, Alistair J. Bath

Bibliographic record

VenueWildlife Society Bulletin · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsMemorial University of Newfoundland
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorParks Canada
KeywordsNational parkWildlifeCanisWildlife managementGeographyHuman–wildlife conflictSocioeconomicsCapePsychologyEnvironmental resource managementEcologySociologyArchaeologyBiology

Abstract

fetched live from OpenAlex

ABSTRACT Successful wildlife management often depends on public acceptance of wildlife control methods. We explored the acceptability and amount of consensus among local residents, park staff, and visitors for coyote ( Canis latrans ) management in Cape Breton Highlands National Park of Canada (NPC). We collected data near Cape Breton Highlands NPC, where there has been an increase in human–coyote conflict. Local residents were mailed a questionnaire ( n = 578; 72% return rate) in 2011. Park staff completed the questionnaire ( n = 124; 85% return rate) during 2011 and visitors were interviewed on trails and given a mail‐back questionnaire during 2011 and 2012 ( n = 375; 51% return rate). The Potential for Conflict Index was used to examine differences in acceptability among the 3 groups. Acceptability of different management options was evaluated for 3 situations: 1) a coyote crossed the trail; 2) a coyote approached a person; and 3) a snarling coyote approached a person. All 3 groups tended to prefer nonlethal management options, but as the scenarios increased in threat level, lethal and more invasive options became more acceptable. Understanding which management options were more acceptable in different contexts facilitates informed decision‐making when humans and coyotes come into conflict. Contrasting public(s) views against those of managers highlighted situations whereby problems might occur. © 2015 The Wildlife Society.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.046
GPT teacher head0.272
Teacher spread0.226 · 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.

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

Citations36
Published2015
Admission routes3
Has abstractyes

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