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Record W2997149442 · doi:10.5539/ass.v16n1p115

Concept Legal Culture of the Volkgeist-Based Customary Land Rights Conflict Resolution of the Dayak Tomun Community in Central Kalimantan Indonesia

2019· article· en· W2997149442 on OpenAlexvenueno aff
Achmadi Achmadi, Khudzaifah Dimyati, Absori Absori, Sinung Mufti Hangabei, Kaji Kelana Usop

Bibliographic record

VenueAsian Social Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndonesian Legal and Regulatory Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCustomary landMindsetLegal cultureCustodiansNormativeIndigenousConflict resolutionPolitical scienceLawLegal pluralismLaw and economicsSociologyLegal realismLegal researchLand tenureGeographyEpistemology

Abstract

fetched live from OpenAlex

The doctrine of the rule of law provides an opportunity for business actors to exploit the natural resources of the customary forest ecosystem or land of the Dayak Tomun indigenous peoples in Central Kalimantan. The clash between das sollen (supposedly) and das sein (reality) shows how the law is always the instrument of power by the authorities. This study aims to explore the concept of legal culture in resolving volkgeist-based Dayak Tomun customary land rights conflicts sourced from the human nature, which is always interpreted as a correlation between ratio (mindset), behavior, value and rule of law implemented over generations in people's lives. This study uses a mixed research method consisting of normative, empirical, and legal anthropological approaches. The constructive offer of the concept of legal culture has a way of life in the form of norms of rules in terms of customary land rights conflict resolution originating from beliefs, ideas, and thoughts. The concept of legal culture in Halang Lintang is to preserve the legal inheritance, which is used as a cultural foundation and local wisdom to have a legal system, legal process, and the substance of implementing the law as a social control.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.006
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.263
Teacher spread0.252 · 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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