MétaCan
Menu
Back to cohort
Record W2768871865 · doi:10.4000/moussons.3441

Telling the Landscape: Place and Meaning in Sunda (West Java)

2001· article· en· W2768871865 on OpenAlexaff
Robert Wessing

Bibliographic record

VenueMoussons · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsASTER
Fundersnot available
KeywordsWitnessHAMLET (protein complex)IslamObject (grammar)ModernityHistoryEthnologyGuardianSociologyHumanitiesArtLiteraturePolitical scienceLawPhilosophyArchaeology

Abstract

fetched live from OpenAlex

In West Java, hamlets are defined by locally significant spirit entities and the tales associated with them, both positive and negative. Indeed, the places where these spirits are localized bear witness to the truth of the tales, which in turn change what would otherwise be a rock, cave, or grave into a spiritually significant object. Through knowledge of them and participation in rituals associated with them, the people of the hamlets become defined as social persons who, along with others, continue to acknowledge the rules and prescriptions laid down by the ancestors. In the past these spirits, especially the ancestors and the hamlet’s guardian, were seen as intimately involved in the daily lives of the inhabitants of the hamlet. Although these beliefs may seem to be in decline as a result of the influence of modernity, schools, and religious teaching, the inhabitants of these hamlets, when facing crises in their lives, still come to these significant locations to seek relief from their troubles. Over time, the nature of the beliefs and the perception of the spirit entities have changed, leading some to relative disregard while others receive enhanced Islamic emphasis. Even though the people, the place, and the tales have changed, the stories remain local, maintaining their significance for those who live there.

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 score0.018
Threshold uncertainty score0.036

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 studies0.0080.007
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.279
Teacher spread0.255 · 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

Citations10
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueMoussonsSame topicAsian Studies and HistoryFrench-language works237,207