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Record W4400466399 · doi:10.29303/jbt.v24i2.6874

Etnoscience of Traditional Alcoholic Beverages (Moke Putih) of Ngada East Nusa Tenggara

2024· article· en· W4400466399 on OpenAlexaff
Umbu Nataniel Limbu, Antonia Paulina Bao, Victoria Coo Lea, Christianus Y. N. Bhae, Prihatin Prihatin

Bibliographic record

VenueJURNAL BIOLOGI TROPIS · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSnowball samplingPsychologyMedicine

Abstract

fetched live from OpenAlex

Ngada district has a traditional drink called moke putih. Moke putih is a traditional alcoholic beverage made from the Aren’s water (Arenga pinnata Merr.) that is found in Flores. For the people of Ngada, moke putih is a symbol of being kind and harmony, and the consumption of moke has become a lifestyle for most people in there. This drink has a lot of potential because it has strong historical elements and cultural values. The purpose of this research is to know the history, processing, and the connection between moke putih and the culture of Ngada. The research method is a qualitative approach to ethnoscience through purposive sampling techniques and snowball samplings from villages with 10 respondents and data collection through interviews, observations, and documentation. Moke Putih is a traditional drink that has been passed down from generation to generation and is closely related to the culture, customs, and characteristics of the Ngada people. White moke is made from slicing the fruit stalks of the sap tree, and this drink is used at every traditional event and in daily activities as a substitute for drinking water.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.233
Teacher spread0.185 · 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
Published2024
Admission routes1
Has abstractyes

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