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Record W2461696363 · doi:10.3390/h5030054

China’s Indigenous Peoples? How Global Environmentalism Unintentionally Smuggled the Notion of Indigeneity into China

2016· article· en· W2461696363 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHumanities · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsChinaEnvironmentalismIndigenousEnvironmental ethicsPolitical scienceSociologyEcologyLawPoliticsPhilosophy

Abstract

fetched live from OpenAlex

This article explores how global environmental organizations unintentionally fostered the notion of indigenous people and rights in a country that officially opposed these concepts. In the 1990s, Beijing declared itself a supporter of indigenous rights elsewhere, but asserted that, unlike the Americas and Australia, China had no indigenous people. Instead, China described itself as a land of “ethnic minority” groups, not indigenous groups. In some sense, the state’s declaration appeared effective, as none of these ethnic minority groups launched significant grassroots efforts to align themselves with the international indigenous rights movement. At the same time, as international environmental groups increased in number and strength in 1990s China, their policies were undergoing significant transformations to more explicitly support indigenous people. This article examines how this challenging situation arose, and discusses the unintended consequences after a major environmental organization, The Nature Conservancy (TNC), carried out a project using the language of indigeneity in China.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

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 studies0.0010.001
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 head0.023
GPT teacher head0.247
Teacher spread0.224 · 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