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Record W7071198863

The Role of Environmental NGOs in Indigenous Land and Sea Management in Atlantic Canada and Nunatsiavut. Reflections on a three month exchange with Oceans North in Halifax, Canada’

2019· article· en· W7071198863 on OpenAlexaboutno aff

Bibliographic record

VenueResearchOnline@ND (The University of Notre Dame) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousWork (physics)TreatyGovernment (linguistics)PoliticsIndigenous rightsTraditional knowledgeAction planMaritime boundaryCoastal management
DOInot available

Abstract

fetched live from OpenAlex

Environmental NGO’s (ENGOs) are increasingly seeking to work with Indigenous groups across Canada. This follows roughly three decades of successful land claims, the establishment of new Indigenous governments, such as Nunatsiavut in Labrador, and greater recognition of First Nation groups following legal action to assert treaty rights. ENGOs are keen to work with these Indigenous entities to push for improved environmental management and responses to climate change, and in some cases, promote political action. The Government of Canada has also recently established an Indigenous Protected Conservation Areas (IPCA) program modelled on Australia’s Indigenous Protected Areas. The presentation discusses challenges arising in the development of Oceans North’s Indigenous Engagement Strategy for First Nations groups in Atlantic Canada, and reflects on Oceans North’s work to promote IPCAs as part of Imappivut, a plan to manage and protect Inuit interests in the coastal and marine areas of Nunatsiavut, Labrador.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.628

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 communication0.0000.000
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 head0.012
GPT teacher head0.259
Teacher spread0.247 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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