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Record W2797836398 · doi:10.1002/ocea.5187

‘Living’ in Nage, or the Meaning of ‘Life’ in an Eastern Indonesian Society

2018· article· en· W2797836398 on OpenAlexaff
Gregory Forth

Bibliographic record

VenueOceania · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnimismIndonesianMeaning (existential)Unitary stateAttributionAnthropologySociologyHistoryGenealogyEpistemologyPsychologySocial psychologyPhilosophyLinguisticsLawPolitical science

Abstract

fetched live from OpenAlex

Originating in 19th century cultural evolutionary theory, a revised concept of ‘animism’ has in recent years found new life in anthropology in the writings of ontological relativists. Continuity is found in the reputed attribution of life by members of small‐scale non‐western societies to inanimate objects as well as to organisms. This new animism is typically contrasted with western or modern scientific thought, either exclusively or primarily. Concerning the Nage of the Indonesian island of Flores, this paper analyzes results of research into what things people regard as being alive (muzi). While the majority of Nage deem only animals, plants, and humans to be living, differences appear among informants distinguished by age and gender. As well as the overall finding, this variation and cultural usages contextually depicting certain inanimate objects as being alive raise questions about animism as a unitary way of knowing the world characteristic of single societies.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.334
Teacher spread0.282 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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