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Record W2037959334 · doi:10.5539/gjhs.v2n2p225

A Cross-sectional Study on Awareness Regarding Safe and Hygienic Practices amongst School Going Adolescent Girls in Rural Area of Wardha District, India

2010· article· en· W2037959334 on OpenAlexvenueno aff
Abhay Mudey, Naveeta Kesharwani, Gargi Abhay Mudey, Ramchandra C Goyal

Bibliographic record

VenueGlobal Journal of Health Science · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPediatric health and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMenstruationSafeguardingMedicineHygieneCross-sectional studyRural areaFamily medicinePediatricsEnvironmental healthNursing

Abstract

fetched live from OpenAlex

Onset of menstruation is one of the most important changes occurring during adolescence. In various parts ofIndia, there are several cultural traditions, myths and misconceptions related to menstruation, which make themvulnerable to genital tract infections. To understand the perceptions, source of information and status ofmenstrual hygiene a cross- sectional study was carried out amongst 300 school going adolescent girls (10- 19 yrs)in the rural area of Wardha district, Maharashtra, India.Majority of the girls received the information regarding menstruation from their mothers (41%), followed byMedia (24%) and friends (19%). Of the girls who developed genital tract infections, 66% used cloth. 37% girlsdo not disclose about their menstruation. Cleanliness of external genitalia was unsatisfactory. Hence it isimportant to educate the girls with scientific knowledge and dispelling their myths and misconceptions therebyencouraging safe and hygienic practices for safeguarding themselves against various infections.

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)0.001
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.065
GPT teacher head0.465
Teacher spread0.400 · 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

Citations147
Published2010
Admission routes1
Has abstractyes

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