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Record W2000829956 · doi:10.1017/s0026749x10000272

Seeking Redress in the Courts: Indigenous Land Rights and Judicial Decisions in Malaysia

2010· article· en· W2000829956 on OpenAlexaff
S. Robert Aiken, Colin H Leigh

Bibliographic record

VenueModern Asian Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsConcordia University
Fundersnot available
KeywordsRedressIndigenousStatutory lawPolitical scienceLawHigh CourtJurisprudenceAppealGovernment (linguistics)Common lawIndigenous rightsAppropriationHuman rights

Abstract

fetched live from OpenAlex

Abstract Malaysia's indigenous peoples continue to suffer numerous grievous injustices, including appropriation of their ancestral lands and socio-economic deprivation. In large part because their voices of resistance to development policies have gone unheard by the authorities, a growing number of individuals and communities have taken their grievances to the nation's courts. In particular, they have pleaded for judicial intervention to address alleged breaches of statutory land and other rights by governments and their contractors, and for recognition of native title at common law. In the landmark 1996Adongcase, the High Court ruled that Malaysian jurisprudence recognizes native title, thus bringing Malaysia into line with a number of other countries that share an English-derived legal system. The concept has been upheld in subsequent High Court, Court of Appeal, and Federal Court judgments. In spite of the rulings in favour of indigenous parties, the federal government, along with certain of the state governments, has continued to adopt an adversarial approach to indigenous land issues. An encouraging development is the reported willingness of governments in Perak and Selangor to tackle indigenous land rights issues through mediation rather than litigation. This paper summarizes seven court cases concerning alleged breaches of statutory rights and four cases dealing with native title at common law; it also looks at certain issues arising from the cases, as well as the responses of communities and governments to the various court judgments.

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)0.008
metaresearch head score (Gemma)0.012
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: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.013
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.319
Teacher spread0.290 · 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

Citations20
Published2010
Admission routes1
Has abstractyes

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