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Record W4402285037 · doi:10.36985/m5pryd38

Pengaruh Kebijakan Dinas Pendidikan Dan Partisipasi Penerbit Buku Terhadap Pembangunan Pendidikan Di Kabupaten Simalungun

2023· article· id· W4402285037 on OpenAlexaff
Ramadhan Syahputra, Robert Tua Siregar, Sarintan E Damanik, Marto Silalahi

Bibliographic record

VenueJurnal Regional Planning · 2023
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPolitical scienceSociology

Abstract

fetched live from OpenAlex

Penelitian ini dilakukan untuk mengetahui pengaruh Kebijakan Dinas Pendidikan dan Partisipasi Penerbit Buku Terhadap Pembangunan Pendidikan di Kabupaten Simalungun. Metodologi yang digunakan adalah kuantitatif dengan memberikan daftar pertanyaan kepada masyarakat yang berada di Kabupaten Simalungun. Yang menjadi sampel sebanyak 100 orang masyarakat yang mewakili, Tehnik analisa data digunakan adalah regresi berganda, serta pengujian, pengolah data dilakukan dengan bantuan program SPSS. Dengan menggunakan uji koefisen determinasi hasil analisis menunjukkan bahwa Kebijakan Dinas Pendidikan dan Partisipasi Penerbit Buku Terhadap Pembangunan Pendidikan di Kabupaten Simalungun adalah sebesar 0,560 atau 56,0%. Sisanya sebesar 44% yang tidak masuk dalam penelitian ini, Penelitian ini memberikan sumbangan pemikiran dan saran kepada Pemerintah Kabupaten Simalungu bahwa Pembangunan Pendidikan membutuhkan perhatian menyeluruh dari stake holder Kabupaten Simalungun, partisipasi masyarakat dalam memberikan informasi dan saran pendapat akan meningkatkan pembangunan Pendidikan di Kabupaten Simalungun

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient 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 score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.098
GPT teacher head0.355
Teacher spread0.256 · 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.

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
Published2023
Admission routes1
Has abstractyes

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