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Record W7089689128 · doi:10.53625/jirk.v5i2.10986

KONTRUKSI SOSIAL MASYARAKAT MANDAR TERHADAP PASSAU’ WAI DI DAERAH ALIRAN SUNGAI (DAS) MANDAR

2025· article· en· W7089689128 on OpenAlexaff

Bibliographic record

VenueJournal of Innovation Research and Knowledge · 2025
Typearticle
Languageen
FieldChemistry
TopicFullerene Chemistry and Applications
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsContext (archaeology)Work (physics)Waiting listValue (mathematics)Subject (documents)

Abstract

fetched live from OpenAlex

Mandar defined as water, thus Mandarnese society is a community that closely related to the water, which is formed from seven kingdoms upstream and seven kingdoms downstream of the river "pitu ulunna salu, pitu baqbana binanga". The society and Mandar River are two things that cannot be separated from the past until nowadays. This research is focused on the investigation of the people context who work as passau’ wai, the social construction of the passau' wai in the Mandar River watershed, the environmental conditions of the Mandar River, and the value implementationof the passau’ wai.The subject of analysis is the head of the family who is passau’ wai by profession. The results show that the current condition of the Mandar River is in a polluted status, the condition of the river does not discourage the community from continuing to carry out “passau 'wai” activities. The social construction process that formed is the influence of the Mandar community's paradigm which assumes that Mandar River water is a medicine or an antidote. The social context of the people who work as passau' wai was motivated by some factors, they are low education, habit, distance from the house to the river, and economic conditions. The activity of “massau' wai” is one of the ancestral cultures which in the process contains values, namely, 1) religion, 2) value of belief, 3) togetherness, 4) humanity, 5) Siri' (shame), 6) high work ethic, 7) mutual cooperation, and 8) Sibaliparriq (gender equality).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

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

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 head0.048
GPT teacher head0.397
Teacher spread0.348 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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