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Record W3169116194 · doi:10.52690/jitim.v1i3.144

Efektivitas Kegiatan Kelompok Kerja Kepala Sekolah Dasar Negeri dalam Penyusunan Rencana Kerja di Desa Lumpatan Kabupaten Musi Banyuasin

2021· article· id· W3169116194 on OpenAlexaff
Siti Khodijah

Bibliographic record

VenueJournal of Innovation in Teaching and Instructional Media · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicSchool Leadership and Teacher Performance
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsMathematicsArt

Abstract

fetched live from OpenAlex

Tujuan utama yang hendak dicapai dalam penelitian ini adalah untuk mengetahui Efektivitas Kegiatan Kelompok Kerja Kepala Sekolah Dasar Negeri di Desa Lumpatan Kabupaten Musi Banyuasin. Penelitian yang digunakan adalah penelitian kualitatif. Pengumpulan data dilakukan pada natural setting (kondisi yang alamiah), sumber data primer, dan teknik pengumpulan data lebih banyak pada observasi, wawancara dan dokumentasi. Hasil penelitian menunjukkan bahwa sumber daya manusia yang belum begitu memiliki kinerja dan kompetensi manajerial yang baik dalam mendukung penyusunan rencana kerja kegiatan Kegiatan Kelompok Kerja Kepala Sekolah serta sarana dan prasarana yang kurang memadai; penyusunan rencana Kegiatan Kelompok Kerja Kepala Sekolah dan indikator pendidikan dan pelatihan kurang berjalan dengan efektif; Rendahnya motivasi yang ditunjukkan kepala sekolah berdampak pada pengetahuan kepala sekolah terhadap penyusunan rencana kerja kurikulum sehingga kurang mampu meningkatkan mutu pendidikan disekolah yang di pimpinnya.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.002

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 head0.297
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

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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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