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Record W7161630399 · doi:10.37253/landmark.v1i2.8592

Sosialiasi Pendidikan Karakter di SMK N 2 Kota Batam Kepulauan Riau

2023· article· W7161630399 on OpenAlexaff

Bibliographic record

VenueLandmark · 2023
Typearticle
Language
FieldSocial Sciences
TopicPancasila Values in Education
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsWork (physics)

Abstract

fetched live from OpenAlex

Maraknya peristiwa karakter anak indonesia yang menyimpang pada zaman ini menjadi sebuah perhatian khusus bagi pemerhati pendidikan. Tujuan dilakukannya sosialisasi ini adalah untuk memberikan pengetahuan kepada siswa baru kelas X di SMK N 2 Batam tentang pentingnya Pendidikan Karakter bagi anak bangsa. Kegiatan ini dilaksanakan secara luring di gedung SMK N 2 Batam. Metode yang digunakan pada kegiatan ini adalah dengan ceramah memberikan materi nilai – nilai karakter dan tanya jawab. Dalam kegiatan ini disampaikan materi Pendidikan karakter yang kan membentuk karakter bangsa yang lebih baik yaitu nilai – nilai pendidikan karakter yang dapat diimplementasikan oleh para peserta yaitu nilai religius, nilai nasionalis, nilai integritas, nilai mandiri dan gotong royong. Pada sesi tanya jawab, peserta memberikan pertanyaan yang berkaitan dengan motivasi dari penerapan nilai nilai pendidikan karakter. Berdasarkan penilaian dari kegiatan yang dilaksanakan peserta dapat memahami materi dengan baik ditandai dengan peserta dapat menjawab pertanyaan yang diajukan oleh pemateri.

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)0.000
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 score0.034
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0340.007

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 head0.051
GPT teacher head0.374
Teacher spread0.323 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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