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Record W4367845678 · doi:10.1177/11771801231169044

Conservation for self-determination: Salween Peace Park as an Indigenous Karen conservation initiative

2023· article· en· W4367845678 on OpenAlexaff
Paul Andrew, Robin Roth, Saw Paul Sein Twa

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIndigenousGrassrootsPoliticsPolitical scienceNational parkSelf-determinationScholarshipCorporate governanceGeographyEthnologySociologyLawEcologyArchaeology

Abstract

fetched live from OpenAlex

States have long used protected areas to consolidate control over Indigenous Peoples’ territories, undermining community-based governance and access to resources. Despite this history, Indigenous Peoples around the world are increasingly designating their own protected areas to defend ancestral territories and assert self-determination. This paper examines Indigenous conservation politics in the Salween Peace Park in Kawthoolei, an autonomous territory of the Karen (Sino-Tibetan language-speaking peoples living primarily in Burma and along the Thai-Burma border). Local villagers and the Karen National Union envision the park as a grassroots initiative for peace in an area that has suffered decades of armed conflict between the Burmese military and the Karen movement for self-determination. Using the Salween Peace Park as a case study, we engage Indigenous scholarship on politics of recognition, resurgence, and refusal. We explore intersections and tensions between these political strategies, highlighting ways that Indigenous protected areas mobilize different forms of power to advance self-determination.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0010.000
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 head0.050
GPT teacher head0.387
Teacher spread0.337 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

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