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Record W4309610706 · doi:10.33087/wjh.v6i2.915

Tinjauan Yuridis Bukti Ilmiah Penyelesaian Perkara Kebakaran Hutan dalam Persfektif Hukum Lingkungan

2022· article· en· W4309610706 on OpenAlex
Octa Vera, Serlika Aprita, Kurniati Kurniati

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

VenueWajah Hukum · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Analysis in Indonesia
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAnthropocentrismPerspective (graphical)Environmental ethicsPolitical scienceForestryPhilosophyGeographyComputer science

Abstract

fetched live from OpenAlex

Exploration of the natural world is becoming more and more popular since it is seen as being for human benefit. One illustration of how certain reckless elements inflict damage is forest fires. The Kalimantan and Sumatra forest fires had a significant negative impact on ecosystems, society, and the economy. In this journal, the problem of forest fires will be studied from the perspective of environmental ethics theory, namely Anthropocentrism and Biocentrism, where the two views contradict each other related to exploitation that should not be carried out by humans as kholifatul fil Ard. This journal uses the library method using scientific article journals and theses. From the second paradigm on environmental ethics, this study will produce the right perspective in this era regarding the relationship between humans and nature, so that the perspective of society in general can change and can take advantage of this nature according to its portion. Because in the Qur'an it has been explained that some of the damage that exists on earth comes from humans.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.308
Teacher spread0.289 · 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