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The Role of Indigenous Resurgence in Marine Conservation

2019· article· en· W6902457009 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousMarine conservationCorporate governanceResource (disambiguation)PoliticsEnvironmental governanceTraditional knowledgeMarine protected area

Abstract

fetched live from OpenAlex

Indigenous peoples’ efforts toward environmental conservation are indivisible from their cultural identity and their social and political organizations. Indigenous resurgence, including the reinvigoration and reestablishment of Indigenous ways of living, are linked to the management, restoration, and conservation of marine and coastal ecosystems around the world. However, there remains a significant gap in the recognition and support of Indigenous governance systems in international policy discussions regarding conservation work. As a way to address this gap, we offer an analysis of marine Indigenous community-led conservation initiatives from around the world that were recipients of the UNDP Equator Prize, framed by initial research on Indigenous-led conservation in British Columbia, Canada. We highlight specific Indigenous governance strategies undertaken by such communities that foster both marine resource conservation and stewardship. The strategies we identified included practicing Indigenous traditional resource management, protection of traditional territories, Indigenous-led actions of environmental conservation, and data collection and monitoring. We also identified networking and collaboration with non-Indigenous supporters, as was reinvestment into education and capacity-building within the community. We conclude with concrete policy suggestions drawn from these cases that can help strengthen the leadership and self-determination of Indigenous peoples on local resource and environmental issues, and aid in much broader conservation efforts globally.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0530.002

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 head0.010
GPT teacher head0.194
Teacher spread0.185 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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