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Record W4288065506 · doi:10.37306/kkb.v6i2.87

HUBUNGAN ANTARA FAKTOR SOSIODEMOGRAFI DAN PENGGUNAAN MEDIA SOSIAL TERHADAP PERILAKU SEKS PRA-NIKAH REMAJA BALI

2021· article· id· W4288065506 on OpenAlexaff
Anastasia Septya Titisari, Luh Kadek Ratih Swandewi, Mellysa Kowara, Ni Made Anggia Paramesthi Fajar

Bibliographic record

VenueJurnal Keluarga Berencana · 2021
Typearticle
Languageid
FieldHealth Professions
TopicAdolescent Health and Behaviors
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychologyHumanitiesGynecologyMedicineArt

Abstract

fetched live from OpenAlex

Kesehatan reproduksi dan seksualitas merupakan topik yang dianggap tabu untuk dibicarakan di Indonesia, sehingga remaja mencari alternatif untuk mendapatkan informasi mengenai topik tersebut. Media sosial secara langsung ataupun tidak langsung menjadi media pembelajaran dan memberikan pengaruh bagi remaja, salah satunya tentang kesehatan reproduksi dan perilaku seksual. Penelitian ini dilaksanakan dengan rancangan online survey cross-sectional terhadap 418 responden remaja berumur 20-24 tahun dari 9 kabupaten/kota di Bali dari Maret hingga April 2021. Meski remaja cukup aktif menggunakan media sosial, sebagian besar remaja (58.85%) jarang mengakses informasi kesehatan reproduksi melalui platform tersebut. Hasil penelitian ini juga menunjukan bahwa penggunaan media sosial dalam perannya sebagai media pembelajaran kesehatan reproduksi tidak memberikan pengaruh preventif secara langung terhadap perilaku seksual pra-nikah remaja. Namun variabel lain seperti status bekerja, jenis kelamin, umur dan pengalaman berpacaran memiliki pengaruh terhadap perilaku seksual pranikah pada remaja Bali usia 20-24 tahun.

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)0.002
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.048
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0480.010

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 head0.058
GPT teacher head0.369
Teacher spread0.311 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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