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Record W4411523142 · doi:10.53276/dedikasi.v4i1.240

Optimalisasi Publikasi Guru di Era Merdeka Belajar: Kolaborasi MGMP dan Perguruan Tinggi dalam Penguatan Kompetensi Penulisan Ilmiah

2025· article· en· W4411523142 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDedikasi Jurnal Pengabdian Kepada Masyarakat · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPromotion (chess)AccreditationParticipatory action researchAction researchPedagogyMedical educationPsychologySociologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

The problem of low teacher skills in writing scientific articles is a challenge in developing professionalism and fulfilling publication obligations for promotion. This Community Service Program aims to improve the ability of MGMP Accounting Central Jakarta 1 teachers in compiling scientific articles based on Classroom Action Research through structured training and intensive mentoring. The activity was carried out with a participatory approach through workshops, hands-on practice, and continuous online and hybrid consultations. The activity results showed a significant increase in participants' understanding of scientific writing techniques, with 80% of participants drafting articles and 30% ready to be submitted to accredited journals. Key recommendations include follow-up mentoring to the publication stage and establishing a teacher writers' forum to encourage collaboration and sustainability capacity building.

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.

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)0.006
metaresearch head score (Gemma)0.006
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.351
Teacher spread0.332 · 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