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Record W4248639649 · doi:10.31227/osf.io/wt9x4

ADMINISTRASI PESERTA DIDIK DI SEKOLAH MENENGAH KEJURUAN

2019· preprint· id· W4248639649 on OpenAlexaff
AGRY BERLIANDA PUTRI

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Penulisan artikel ini bertujuan untuk membahas tentang administrasi peserta didik di Sekolah Menengah Kejuruan (SMK) mulai dari perencanaan penerimaan peserta didik baru, pembinaan selama di sekolah, sampai dengan menamatkan pendidikan peserta didik tersebut. Administrasi pendidikan adalah proses pengelolaan agar seluruh potensi sekolah berfungsi secara optimal dalam mendukung tercapainya tujuan sekolah. Peserta didik adalah individu yang mengalami perubahan, perkembangan sehingga masih memerlukan bimbingan dan arahan dalam membentuk kepribadian serta sebagai bagian dari struktural proses pendidikan. Dalam Undang-undang Sistem Pendidikan Nasional No. 20 tahun 2003 dinyatakan bahwa pendidikan kejuruan adalah pendidikan menengah yang mempersiapkan peserta didik terutama untuk bekerja dalam bidang tertentu.Kata kunci: Administrasi, Peserta Didik, Sekolah Menengah Kejuruan

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.058
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0580.012

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 head0.049
GPT teacher head0.342
Teacher spread0.293 · 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
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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