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Record W2983974324 · doi:10.24832/fa.v32i2.580

IDENTIFIKASI DAN PEMAKNAAN RELIEF FLORA PADA TINGGALAN ARKEOLOGI DI LERENG BARAT GUNUNG LAWU

2019· article· en· W2983974324 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueForum Arkeologi · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and Artistic Studies
Canadian institutionsHotel Dieu HospitalWiLAN (Canada)
Fundersnot available
KeywordsFlora (microbiology)HumanitiesGeographyArtHorticultureBiology

Abstract

fetched live from OpenAlex

The holy building religious in the past founded in Indonesia equipped with various componens. One of the componens that to interesting for talking is relief. the temples is locatated in western slope Mount Lawu much to contain various kinds of relief, but this study want to identify the kind of type of flora that enshrined in the form of relief as well as looking for the functions and benefits. Data collection was done through observation and literature review. Data analysis was using qualitative and contextual. This research managed to identify twelve the kinds of relief is coconut, jackfruit, eggplant, areca nut, durian, lotus, banyan tree, wine, plants spread, silk cotton tree, bulging, banana?. This flora reliefs carved in different places is in the housing, the grave, and the forest. The function showed is for beautify temple building, showed environment in the past, and function link to religious. The past peoples that lived in research site to using flora to the foods, medicine, and holy ritual. Bangunan suci keagamaan masa lalu yang ditemukan di Indonesia dilengkapi dengan berbagai komponen. Salah satu komponen yang menarik untuk dibicarakan adalah relief. Candi-candi yang terletak di Lereng Barat Gunung Lawu mengandung berbagai jenis relief, namun studi ini lebih memfokuskan terhadap relief tumbuh-tumbuhan. Untuk itu penelitian ini ingin mengidentifikasi jenis-jenis flora yang diabadikan dalam bentuk relief serta menelusuri fungsi dan manfaatnya. Metode pengumpulan data yang digunakan meliputi observasi dan kajian pustaka. Analisis yang digunakan ialah kualitatif dan kontekstual. Penelitian ini berhasil mengindentifikasi duabelas jenis flora yaitu kelapa, nangka, terung, pinang, durian, teratai, beringin, anggur, tumbuhan menjalar, randu, kepuh, dan pisang?. Relief-relief flora ini dipahatkan diberbagai lokasi baik di perumahan, kuburan, maupun hutan. Fungsi yang ditunjukkan adalah untuk memperindah bangunan candi, menunjukkan lingkungan masa lalu, dan fungsi dalam kaitan keagamaan. Masyarakat masa lalu yang hidup di situs penelitian memanfaatkan berbagai jenis flora untuk bahan makanan, obat-obatan, dan upakara.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.278
Teacher spread0.258 · 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