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THE INFLUENCE OF AUDIO-VISUAL VIDEO MEDIA ON KNOWLEDGE IN EFFORTS TO PREVENT SEXUAL VIOLENCE AGAINST ADOLESCENTS WITH DISABILITIES AT SLB SHANTI KOSALA NGANJUK

2023· article· en· W4388636678 on OpenAlexaboutno aff
Mia Ashari Kurniasari, Ratna Frenty Nurkhalim

Bibliographic record

VenueIndonesian Midwifery and Health Sciences Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologyReproductive healthTest (biology)Audio visualPopulationApplied psychologyDevelopmental psychologyMedicineMultimediaComputer scienceEnvironmental health

Abstract

fetched live from OpenAlex

Background: In Indonesia, teenagers account for one-quarter of the population. The focus of national development is on teenagers. Teenagers with disabilities are of particular concern due to their numerous restrictions, particularly in reproductive health education. They often experience health problems, especially sexual and reproductive health. Reproductive health education is the right solution for people with disabilities so that they can increase their knowledge in sexual violance so that they can protect themselves from a person. The aim of this research is to determine the effect of audio-visual video media on knowledge in efforts to prevent sexual violence among disabled teenagers. Method: We included all of the student that attend the school on the day of data collection. We used questionnaire to collect the data and the analytical test used was the Wilxocon Rank Test. Result: there was an increase in knowledge before implementing health education using audio-visual media, primarily 13.6%, with the high knowledge group comprising 54.5%. Meanwhile, the low knowledge group dropped from 86.4% to 45.5%. The Wilxocon Rank Test value is p= 0.035, indicating that audio-visual media has a significant influence on knowledge. Conclussion: There is an influence of audio-visual media with information in attempts to prevent sexual violence against disabled youth at SLB. Shanti Kosala Nganjuk.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.364
Teacher spread0.331 · 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 teacher head, not a consensus.

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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