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Record W7117696908 · doi:10.12716/1001.19.04.07

Pa'lopian: The Mastery of Tanjung Bira Seafarers in Navigating the Nusantara with Phinisi Vessels in Indonesia

2025· article· en· W7117696908 on OpenAlexaboutno aff
Eymal Bahsar Demmalino, Munsi Lampe, Ahmad Ismail

Bibliographic record

VenueTransNav the International Journal on Marine Navigation and Safety of Sea Transportation · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
FundersDirektorat Jenderal Pendidikan TinggiKementerian Pendidikan, Kebudayaan, Riset, dan Teknologi
KeywordsIndigenousContext (archaeology)Traditional knowledgeEmpirical researchKnowledge-based systemsQualitative research

Abstract

fetched live from OpenAlex

The successful voyages of the phinisi Nusantara, from historical crossings to Singapore and Malaysia during the Nusantara Kingdoms to late 20th-century expeditions to Vancouver, Madagascar, Australia, and Japan, highlight the exceptional skills of Tanjung Bira seafarers. This study explores the mastery of these sailors, known as Pa'lopian, in navigating the phinisi vessels. Conducted in Bira Village, South Sulawesi, Indonesia the research employs a constructivist framework using case studies and phenomenological analysis, with data gathered through observation, interviews, and documentation. The findings reveal that the seafarers’ expertise lies in their ability to integrate knowledge of winds, currents, and waves for safe navigation. The study advocates for preserving this traditional maritime knowledge by establishing a Community University to support its transmission, especially in the context of maritime tourism. Integrating these indigenous practices into modern educational systems is crucial for their survival and relevance.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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 designObservational
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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Same venueTransNav the International Journal on Marine Navigation and Safety of Sea TransportationSame topicMaritime and Coastal ArchaeologyFrench-language works237,207