MétaCan
Menu
Back to cohort
Record W4392790880 · doi:10.35568/healthcare.v6i1.4224

The Relationship Between Knowledge Level And Perineal Hygyene Attitude Towards The Incidence Of Flour Albus

2024· article· en· W4392790880 on OpenAlexaff
Ai Rahmawati, Reni Nurdianti, Fitriani Mardiana Hidayat, Ai Yenti

Bibliographic record

VenueHealthcare Nursing Journal · 2024
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsIncidence (geometry)PsychologyMathematics

Abstract

fetched live from OpenAlex

Flour albus is defined as a clear but sometimes milky white discharge that can be small or even quite large. The occurrence of flour albus in adolescents before puberty, after menstruation and even occurs when adolescents experience stress. This study aims to determine the relationship between knowledge level and perineal hygiene attitude towards the incidence of flour albus. This research method uses quantitative with a cross sectional approach. The sample consisted of 62 seventh grade students of SMPN 1 Sukaraja, using simple random sampling technique, data obtained using a questionnaire and analyzed using the chi-square test. The results showed a p-value of 0.000. The conclusion of this study is that there is a relationship between the level of knowledge and perineal hygiene behavior towards the incidence of flour albus. Suggestions for adolescent girls are that they must attend a lot of health counseling, especially reproductive health, in order to increase knowledge, and perineal hygiene behavior that supports maintaining reproductive health and reducing the incidence of flour albus.

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.196
GPT teacher head0.462
Teacher spread0.266 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueHealthcare Nursing JournalSame topicHealth and Well-being StudiesFrench-language works237,207