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Record W3005055721

Investigation of the Tribal Park Concept and Opportunities for the Blackfeet Nation

2019· article· en· W3005055721 on OpenAlexaboutno aff
Iree Schmautz Wheeler

Bibliographic record

VenueThe Mathematics Enthusiast · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeographySociologyPublic relationsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The Tribal Park model is an emerging tool being used by indigenous groups in the United States and Canada for the management of unique and sacred natural areas, in some cases setting aside existing indigenous owned land, and in others regaining control of land management decisions in traditional territory. Currently in North America there are several sites that have self-identified as Tribal Parks. There is a lack of research regarding Tribal Park development in North America, which creates challenges for indigenous groups interested in pursuing a conservation designation of this type. Using an analysis of five Tribal Park case studies this thesis identifies the key components of these Tribal Parks. Specifically focusing on the economic, cultural, and ecological aspects of each case study. This research then uses interviews with members of the Blackfeet Nation, to explore the potential interest in a Tribal Park on Blackfeet Nation lands. This study finds that though the Tribal Park concept varies across case studies based on the needs of the specific community, there are some important common aspects across cases. These aspects include: a bottom-up community driven planning process with programs in place to increase capacity of community members, exercising sovereignty over land-use decisions in traditional territory, and connectivity of landscapes and habitat protection. Some of the themes identified by Blackfeet Nation respondents were potential benefits from capturing visitor overflow from neighboring Glacier National Park, increased access to land by community members, and concerns regarding land-use conflicts between different user 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)0.001
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 score0.075
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
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.144
GPT teacher head0.345
Teacher spread0.202 · 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
Published2019
Admission routes1
Has abstractyes

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