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Record W4415729185 · doi:10.18502/kss.v10i27.20068

Criminalization of Environmental Activists at Gemulo – Malang

2025· article· W4415729185 on OpenAlexaboutno aff
‎ Dahniarti

Bibliographic record

VenueKnE Social Sciences · 2025
Typearticle
Language
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsCriminalizationEnvironmental lawRealmDeclarationEnvironmental crimeHuman rightsCriminal justiceSilenceCriminal law

Abstract

fetched live from OpenAlex

In the past, environmental law issues were in the civil realm starting from the emergence of the Trails Melter case between the United States and Canada. But the development of the era that feels that the world belongs to all, not the privatization of a particular country, has resulted in a consensus to form declarations to protect the environment; starting from Stockholm, then the Rio de Jeneiro Declaration, the Declaration in Japan, to the development of regulations in Indonesia up to Law Number 32 of 2009. This study critically examines the criminalization of community activists opposing the construction of The Rayja Hotel over the sacred Gemulo spring in Batu, Malang. This research used a qualitative case study methodology. It explores the tensions between environmental justice and state-sanctioned development and highlights the abuse of law through informal and formal legal mechanisms against public interest advocates. Primary data from interviews and secondary sources from theses and journal articles indicate that criminal charges and civil litigation are used to silence environmental dissent, in violation of Law No. 32 of 2009 on Environmental Protection. The findings call for strengthened legal protection for environmental activism and an enforceable human rights framework for communities defending natural resources.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.108
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
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.042
GPT teacher head0.317
Teacher spread0.274 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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