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Record W4392830296 · doi:10.7454/jai.v43i2.1009

Dinamika Resistensi Subtil Terhadap Penyerobotan Sawit: Studi Terhadap Masyarakat Maneo Seram Utara, Maluku Tengah

2022· article· id· W4392830296 on OpenAlexaff
George Marthen Likumahwa, Marcho David Pentury

Bibliographic record

VenueAntropologi Indonesia · 2022
Typearticle
Languageid
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

This article analyzes the discontent of the Maneo people of North Seram against Nusaina, a palm oil company that operates on their custom (adat) territory. Nusaina obtained land for its operation in Seram through various cunning schemes, deceiving the Maneo people into agreeing to lease their land by exploiting their lack of access to legal assistance. The uneasy relationship that has unfolded ever since has led to perpetual and subtle tension between Maneo and Nusaina. The situation that the Maneo find themselves in is illustrative of that of many indigenous Austronesians. Although the traditional norm among Austronesian societies dictates that earlier arriving groups are to be ranked higher, the expansion of extractive capitalism has disrupted this. The presence of extractive corporates has created a situation where Austronesian indigenous societies are losing access to their traditional land and resources. In resisting potentially devastative changes brought about by Nusaina, the Maneo incorporate symbols that associate their people with the land and assert the traditional order of precedence.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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