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Record W4321376098 · doi:10.36456/pancasona.v2i1.6637

STRATEGI PENULISAN SISTEMATIKA PENULISAN KARYA ILMIAH HASIL PTK BAGI GURU SMPN WILAYAH KOTA SURABAYA

2023· article· id· W4321376098 on OpenAlexaff
Rahmad Hidayat, Fajar Annas Susanto, Endang Mastuti Rahayu, Hertiki Hertiki, Armelia Nungki Nurbani, Joesasono O.S., Dzul Kamalil Qorihah

Bibliographic record

VenuePANCASONA · 2023
Typearticle
Languageid
FieldMathematics
TopicMathematics Education and Pedagogy
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Artikel ini bertujuan untuk menjelaskan beberapa strategi yang bisa diimplementasikan oleh para guru dalam mempublikasikan karya ilmiah hasil Penelitian Tindakan Kelas (PTK) di jurnal ilmiah. Artikel ini menggunakan metode deskriptif kualitatif dengan metode pelaksanaan berupa bimbingan teknis. Data diperoleh dari observasi selama pelaksanaan kegiatan pelatihan, bimbingan teknis serta dokumen hasil karya tulis ilmiah yang disusun dan dikumpulkan oleh para guru sebagai peserta yang tergabung dalam MGMP Bahasa Inggris tingkat SMPN di wilayah Surabaya. Melalui metode Bimbingan Teknis, strategi yang dilakukan berfokus pada penguatan sistematika penulisan artikel sesuai dengan kaidah ilmiah. Peserta bimbingan teknis meliputi guru-guru Bahasa Inggris tingkat SMP yang tergabung dalam Musyawarah Guru Mata Pelajaran (MGPM) wilayah kota Surabaya. Dari hasil Bimbingan Teknis yang telah dilakukan, beberapa guru mampu menulis karya ilmiah dengan sistematika sesuai kaidah ilmiah. Meskipun demikian, masih diperlukan perbaikan serta revisi terhadap karya ilmiah yang ditulis oleh para guru. Selain itu, dibutuhkan pula peningkatan bimbingan secara intensif sehingga jumlah guru yang menulis artikel ilmiah yang siap dipublikasikan semakin bertambah banyak.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), 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: Empirical
Teacher disagreement score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.030

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 head0.151
GPT teacher head0.380
Teacher spread0.229 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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