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Record W4403800248 · doi:10.54082/jpmii.513

Optimalisasi Pengasuhan Anak dan Pencegahan Pernikahan Dini melalui Penerapan Fungsi Keluarga pada Bina Keluarga Remaja (BKR) Desa Cimande, Kabupaten Bogor, Jawa Barat

2024· article· id· W4403800248 on OpenAlexaff
Amirah Syuaib, Tin Herawati, Mumpuni Nugroho Widajati

Bibliographic record

VenueJurnal Pengabdian Masyarakat Inovasi Indonesia · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicMarriage and Family Dynamics
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Berdasarkan data UNICEF (2023), Indonesia menempati peringkat keempat dalam kasus pernikahan anak terbanyak di dunia dengan jumlah kasus mencapai 2,553 juta. Permasalahan ini diperparah oleh kurangnya pengawasan keluarga dan lemahnya fungsi keluarga dalam mendidik serta melindungi anak remaja. Tujuan dari program ini adalah untuk meningkatkan pengetahuan dan peran keluarga dalam mendidik serta melindungi anak remaja dari pernikahan dini dan masalah reproduksi melalui penerapan fungsi keluarga. Program ini dilaksanakan dalam dua sesi edukasi yang melibatkan total 32 peserta dari Bina Keluarga Remaja (BKR) Aster Desa Cimande. Sesi pertama membahas pencegahan pernikahan dini dan ancaman reproduksi pada remaja melalui 8 fungsi keluarga, sementara sesi kedua fokus pada strategi pengasuhan anak remaja Hasil kegiatan menunjukkan peningkatan signifikan dalam pengetahuan peserta mengenai pencegahan pernikahan dini dan strategi pengasuhan anak remaja yang ditunjukkan melalaui peningkatan skor peserta dari pretest ke post-test.

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)0.006
metaresearch head score (Gemma)0.001
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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.006
Science and technology studies0.0050.002
Scholarly communication0.0060.004
Open science0.0040.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.002

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 head0.025
GPT teacher head0.279
Teacher spread0.254 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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