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Record W3041143719

Establishing a Framework for the Peaceful Enjoyment of the Traditional Territories of First Nations in Northeast British Columbia

2020· dissertation· en· W3041143719 on OpenAlexaboutno aff
Abigael Rice

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2020
Typedissertation
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPolitical scienceEthnologyHistory
DOInot available

Abstract

fetched live from OpenAlex

With the 1899 signing of Treaty 8, the Dene-zaa of northeast British Columbia were assured that their usual vocations of hunting, trapping and fishing would not be affected by European settlement, and they would be as free after signing the treaty as they were prior to it. Yet, after a century of failed promises, the Dene-zaa have been forced to watch much of their traditional territories transformed to meet the economic interests of industry and government. Today, the Dene-zaa are once again trying to protect their lands, and their relationships with them. Their efforts involve participating in the Regional Strategic Environmental Assessment (RSEA) for northeast British Columbia. Through the RSEA process they have introduced the concept of Peaceful Enjoyment as a guiding principle for evaluating and mitigating potential impacts stemming from energy development. For the Dene-zaa, Peaceful Enjoyment encapsulates a preferred way of life and may represent their last remaining opportunity to protect their physical and spiritual connection to the land.\nIn collaboration with the West Moberly First Nations, Saulteau First Nations, and the RSEA Management Committee, my research set out to document the extent to which First Nation livelihoods are derived from environmental resources and the conditions required for the attainment of Peaceful Enjoyment of traditional lands. More specifically, the objectives of my research were to: 1) Quantify the total edible food weight and number of wildlife species harvested by First Nation members over a 12-month period (2016-2017); 2) Quantify the extent to which traditional foods are shared between First Nation households; 3) Map harvest areas by food weight, species, and community use; 4) Identify areas within the West Moberly and Saulteau First Nations traditional territories where land use has been constrained, whether due to industrial development, competing land uses, or other social or ecological constraints; and 5) Explore changes in the landscape that First Nations members have experienced throughout their lifetime. \nMy research utilized a mix-methodology involving archival research, participant observation, key informant interviews, household surveys, land use mapping, social network analysis, and spatial modeling. The results demonstrate that the harvest and subsequent sharing of traditional foods make an important contribution to the cultural, economic, and nutritional well-being of First Nations members. During the survey period, SFN households alone harvested an estimated 56,027 kg of traditional foods. This includes 31,176 kg of moose, 22,194 kg of other large mammals, 1,307 kg of small mammals, 1,164 kg of fish and 186 kg of birds. 79.3% of this harvest occurred within a 100 km radius of the SFN community, but also extended as far as 100 km to the northwest. These foods were then shared through 244 individual exchanges involving 160 households, 74 of which were located in 13 other communities. However, my results also show that the opportunities for First Nation members to experience the Peaceful Enjoyment of their traditional lands is constrained by physical disturbances associated with resource development, competition with non-First Nation hunters and recreationalists, and a range of social and economic barriers. These results, if accounted for in the planning and assessment process, can assist the RSEA Management Committee in making informed decisions regarding the cultural impacts stemming from future energy development in northeast British Columbia.

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 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 score0.795
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.222
Teacher spread0.205 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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