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Record W7066184538

HUMAN-WOLF CONFLICT AND COEXISTENCE IN THE PACIFIC RIM NATIONAL PARK RESERVE REGION, NUU-CHAH-NULTH TRADITIONAL TERRITORY, VANCOUVER ISLAND, BRITISH COLUMBIA

2024· dissertation· en· W7066184538 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2024
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsNational parkMandateTourismWildlifeProtected areaBuffer zoneWildlife conservation
DOInot available

Abstract

fetched live from OpenAlex

Protected areas situated at the urban-wilderness interface present unique wildlife conservation opportunities and challenges. Pacific Rim National Park Reserve (PRNPR) occupies the traditional lands of nine First Nations and adjoins two tourist communities on the southwest coast of Vancouver Island. This geography presents a complex task of balancing rights of First Nation communities, residents, and park visitors, while upholding the ecological integrity mandate of the Parks Canada Agency. Human-wolf interactions typify these challenges because of re-established wolf populations, increased residential development, and perpetuation of behaviors by residents and visitors that habituate wolves and puts wolves’ survival at risk. The objectives of this research were to: (1) define “conflict” and “coexistence”, and their influencing factors, (2) better understand local residents’ and visitors’ sentiments regarding wolves and their management, (3) characterize ways that PRNPR and partner Nuu-chah-nulth First Nations can weave Nuu-chah-nulth Knowledge and local best practices into conflict-mitigation and long-term coexistence strategies, and (4) identify and present a human-wolf coexistence framework that foster ongoing collaboration and relationship building. These objectives were addressed using a mixed-methods approach involving semi-structured interviews (n=32) and a collaborative workshop. Throughout this dissertation, I share important insights across all these objectives, some of which include: (1) co-produced definitions and parameters of conflict and coexistence (objective 1, 2, and 3), (2) unique findings showing the high level of tolerance and excitement for wolves, but that conflicts are primarily being led by pro-wolf people and groups (objectives 1 and 2), and (3) a co-identified path toward more effective cross-cultural collaboration in state-led efforts around human-wildlife interactions (objectives 3 and 4). Results will inform future efforts on human-wolf coexistence and relationship building among Parks Canada, First Nations, and rights- and stakeholder groups.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.188
Teacher spread0.172 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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