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Record W4293083413 · doi:10.31219/osf.io/egv9n

MENANAMKAN RASA NASIONALISME DENGAN ZIARAH KE MAKAM RAJA-RAJA DAN MAKAM PAHLAWAN YANG ADA DIPULAU LAUT

2022· preprint· id· W4293083413 on OpenAlexaff
AINUN CAHYA

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldSocial Sciences
TopicCultural and Religious Practices in Indonesia
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesRajaArtBiology

Abstract

fetched live from OpenAlex

Kotabaru yang berada di pesisir tenggara Pulau Kalimantan memiliki kawasan wisata dan sejarah menarik, yang ditandai oleh keberadaan kerajaan Islam, seperti Kusan, Pagatan, Batulicin, Sebamban, dan Pulau Laut. Keletakannya yang berada pada jalur pelayaran di Selat Makassar, membuat kerajaan-kerajaan tersebut berperan besar dalam perdagangan. Penemuan makam Raja-raha Pulau Laut menjadi faktor utama menarik peneliti memanfaatkan untuk penanaman nilai-nilai nasionalisme dalam diri. Permasalahan dalam penelitian ini adalah bagaimana cara menanamkan rasa nasionalisme dalam diri siswa dengan menengok sejarah makam raja-raja Pulau Laut yanag ada di kotabaru. Penelitian ini menggunakan studi literatur yaitu dengan mengumpulkan data dengan menggunakan metode data pustaka, baik dari jurnal, artikel maupun penelitia-penelitian yang bersifat relevan.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.002
Science and technology studies0.0060.001
Scholarly communication0.0010.001
Open science0.0040.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0200.001

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 head0.039
GPT teacher head0.330
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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