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Record W4414812599 · doi:10.36985/r879qa78

EDUKASI PERAN EKOLOGIS LEBAH MADU SEBAGAI POLINATOR ALAMI PADA GENERASI ALFA

2025· article· id· W4414812599 on OpenAlexaff
Ummu Harmain, Muhammad Ade Kurnia Harahap, Benteng H Sihombing

Bibliographic record

VenueJurnal Pengabdian Masyarakat Sapangambei Manoktok Hitei · 2025
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsWork (physics)

Abstract

fetched live from OpenAlex

Lebah madu berperan penting dalam menjamin tersedianya sumber pangan bagi mahluk hidup di bumi ini. Untuk mengenal lebih dekat peran itu dilakukan edukasi pada Generasi Alfa untuk memberikan pengetahuan yang lebih baik tentang pentingnya keberlanjutan dan peran mereka dalam menjaga ekosistem. Kegiatan ini dilakukan di SD Muhammadiyah 1 Pematangsiantar dengan peserta berasal dari kelas empat sampai kelas enam berjumlah sekitar 150 orang. Kegiatan menggunakan alat dan bahan peraga untuk lebih mengenal lebih dekat lebah madu. Para peserta antusias dalam mengajukan pertanyaan dan menjawab pertanyaan yang diajukan. Peserta kegiatan mengetahui peran penting lebah bukan hanya sebagai pengahasil madu namun juga sebagai penyerbuk tanaman

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.003

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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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