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Record W3024171473 · doi:10.25071/2563-2418.4

Kamus Bahasa Pamona-Indonesia oleh Bapak Dj. Tiladuru (Pamona - Indonesia Dictionary)

2018· article· id· W3024171473 on OpenAlexvenueno aff
Bapak DJ. Tiladuru

Bibliographic record

VenueLOBO Annals of Sulawesi Research · 2018
Typearticle
Languageid
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Kamus ini ditulis antara 1996 dan 1997 oleh Bapak Dj. Tiladuru, prinsip pensiunan SMP (SMPT) di Tentena. Proyek ini muncul dari pelajaran bahasa Pamona yang diberikan oleh Bapak Tiladuru kepada Albert Schrauwers. Setelah menunjukkan kepada Bapak Tiladuru, sebuah kamus bahasa Pamona-Belanda ditulis misionaris N. Adriani (Bare’e-Nederlandsch Woordenboek (Brill, 1928)) keduanya sepakat bahwa kamus yang dapat diakses dalam Bahasa Indonesia harus menjadi prioritas. Bapak Tiladuru prihatin bahwa perubahan linguistik dan budaya pada abad ke-20 akan menghasilkan erosi lambat di masa kelancaran berbahasa Pamona masa depan. Bersama-sama, kami memulai proyek kamus ini tanpa pemahaman nyata tentang kendala yang akan kami hadapi. Ukuran besar dari tugas akhir, dan kesulitan kompetensi jarak dan linguistik, menghasilkan periode produksi hampir 20 tahun. Perubahan teknologi dalam interim telah memungkinkan kamus diedarkan secara gratis sebagai PDF akses terbuka yang dapat dicari sepenuhnya. This dictionary was written between 1996 and 1997 by Bapak Dj. Tiladuru, the retired principle of the Junior School (SMPT) in Tentena. The project emerged out of the Pamona language lessons Bapak Tiladuru gave Albert Schrauwers. After showing Bapak Tiladuru a copy of missionary linguist N. Adriani’s thousand page Pamona-Dutch Dictionary (Bare’e-Nederlandsch Woordenboek (Brill, 1928)) the two agreed that an accessible work in Bahasa Indonesia should be a priority. Bapak Tiladuru was concerned that the linguistic and cultural changes of the twentieth century would result in the slow erosion of future Pamona speakers fluency. Together, we embarked on this dictionary project with no real understanding of the obstacles that we would face. The sheer size of the final work, and the difficulties of distance and linguistic competencies, resulted in an almost 20 year production period. Technological change in the interim has allowed for the dictionary to be circulated for free as a fully searchable open-access PDF.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0480.023

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 head0.182
GPT teacher head0.394
Teacher spread0.213 · 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 designNot applicable
Domainnot available
GenreOther

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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Same venueLOBO Annals of Sulawesi ResearchSame topicLinguistics and Language AnalysisFrench-language works237,207