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Record W7161633079 · doi:10.37253/landmark.v3i1.11019

Cerdas Bersama, Berbagi untuk Sesama: Pengabdian Masyarakat melalui Pendidikan Matematika dan Bantuan Sosial di Panti Asuhan Al-Huffaz Batam

2025· article· W7161633079 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

VenueLandmark · 2025
Typearticle
Language
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsClass (philosophy)

Abstract

fetched live from OpenAlex

Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan dukungan pendidikan dan sosial kepada anak-anak di Panti Asuhan dan Pondok Tahfiz Al-Huffaz Batam. Melalui pendekatan partisipatif, mahasiswa Universitas Internasional Batam menyelenggarakan dua kegiatan utama: (1) pengajaran matematika interaktif untuk meningkatkan pemahaman konsep dasar, dan (2) pemberian sembako untuk memenuhi kebutuhan sehari-hari. Metode pelaksanaan meliputi perencanaan berbasis kebutuhan, pendekatan pembelajaran yang menyenangkan, serta evaluasi partisipatif. Hasilnya menunjukkan peningkatan antusiasme belajar anak-anak, terutama dalam matematika, serta terbangunnya hubungan emosional antara mahasiswa dan penerima manfaat. Kegiatan ini juga mengasah keterampilan mengajar, komunikasi, dan empati mahasiswa. Rekomendasi untuk keberlanjutan mencakup perluasan materi ajar, kolaborasi lintas disiplin ilmu, dan pendampingan jangka panjang. Program ini menegaskan peran perguruan tinggi dalam mendorong kesetaraan pendidikan dan kepedulian sosial.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.015
GPT teacher head0.307
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