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Record W3156871189

Indigenous and Parks Canada Agency perspectives on the management of Gulf Islands National Park Reserve

2020· dissertation· en· W3156871189 on OpenAlexaboutno aff
Andrew Fitzsimmons

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2020
Typedissertation
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsNational parkIndigenousGeographyAgency (philosophy)Nature reserveMarine reserveEnvironmental protectionEnvironmental resource managementEnvironmental planningFisheryArchaeologyEcologyEnvironmental scienceSociologyFishingSocial science
DOInot available

Abstract

fetched live from OpenAlex

In the Gulf Islands and Salish Sea Regions of British Columbia the Parks Canada Agency (PCA) currently operates Gulf Islands National Park Reserve (GINPR) and is in the development phase for the proposed Southern Strait of Georgia National Marine Conservation Area Reserve (SSGNMCAR). Protected areas such as these are meant to protect the ecological and cultural heritage of the region on behalf of all Canadians. As the government runs and expands their protected areas in the region it is important to look at their relationship with Indigenous communities in particular, as the PCA mandate requires the agency to work in “partnership” with Indigenous communities (Parks Canada 2017). The region is home to nearly 20 First Nations groups including the three W̱SÁNEĆ First Nations of the W̱SÁNEĆ Leadership Council (WLC). The WLC is an Indigenous government that has publicly stated their perception of a strained relationship with the PCA beginning before the formal establishment of GINPR in 2003. Through historical analysis; interviews with employees from the PCA and members of the W̱SÁNEĆ community; and a review of several aspects of site management and establishment in the region – this thesis explores the changing relationship between the PCA and W̱SÁNEĆ First Nations. Through this thesis I collect and discuss recommendations from W̱SÁNEĆ community members, and develop several myself, for the PCA to consider developing to improve the partnership between the two bodies. Potentially a partnership could lead towards formalized and lasting co-operative decision-making practice in the region’s cultural and natural heritage management.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.994

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 studies0.0070.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.035
GPT teacher head0.326
Teacher spread0.292 · 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 designQualitative
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

Citations1
Published2020
Admission routes1
Has abstractyes

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