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Record W2138815165 · doi:10.1017/s0026749x01003067

Masyarakat Adat, Difference, and the Limits of Recognition in Indonesia's Forest Zone

2001· article· en· W2138815165 on OpenAlexaff
Tania Murray Li

Bibliographic record

VenueModern Asian Studies · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsDalhousie University
FundersWorld Bank Group
KeywordsPolitical scienceIndigenousPoliticsGovernment (linguistics)IndonesianAgency (philosophy)AllianceCommunal landLawPublic administrationLand tenureSociologyGeographySocial science

Abstract

fetched live from OpenAlex

‘We will not recognize the Nation, if the Nation does not recognize us’ This statement was made by AMAN (Aliansi Masyarakat Adat Nusantara), the Alliance of Indigenous People of the Archipelago, at their inaugural congress in Jakarta, March 1999. The congress was organized by a consortium of Jakarta-based NGOs, and funded by international donors (USAID, CUSO, and OXFAM among others). Building upon a process of mobilization that began with the International Year of Indigenous People in 1993, the Congress marked the formal entry of masyarakat adat (literally, people who adhere to customary ways) as one of several groups staking claims and seeking to redefine its place in the Indonesian nation as the political scene opened up after Suharto's long and repressive rule. AMAN and its supporters assert cultural distinctiveness as the grounds for securing rights to territories and resources threatened by forestry, plantation and mining interests backed by police and military intimidation. Their attempt to place the problems of masyarakat adat on the political agenda has been remarkably successful. While seven years ago the head of the national land agency declared that the category masyarakat adat, which had some significance in colonial law, was defunct or withering away (Kisbandono 18/02/93), the term now appears ever more frequently in the discourse of activists, parliamentarians, media, and government officials dealing with forest and land issues.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.019
Scholarly communication0.0130.005
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.064
GPT teacher head0.303
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations209
Published2001
Admission routes1
Has abstractyes

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