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Record W4417459057 · doi:10.21275/mr251206162410

A Descriptive Study to Assess the Knowledge and Practice Regarding Health Hazards of Consumption of Junk-Food among Adolescents in Senior Secondary School of Bhalwal

2025· article· W4417459057 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Science and Research (IJSR) · 2025
Typearticle
Language
FieldHealth Professions
TopicDiverse Scientific Research Studies
Canadian institutionsThe Society of Obstetricians and Gynaecologists of Canada
Fundersnot available
KeywordsLikert scaleNonprobability samplingDescriptive researchScale (ratio)Descriptive statisticsPopulationKnowledge levelResearch design

Abstract

fetched live from OpenAlex

A descriptive study to assess the knowledge and practice regarding health hazards of consumption of junk food among adolescents (13-19) at selected senior secondary school of BHALWAL, Jammu. Material & Methods: A descriptive approach using non experimental research design was adopted for the present research study. Purposive sampling technology was used to collect the data. Tool used for present study were socio- demographic sheet, self structured questionnaires tool, Likert scale was used to collect the data. The population for the study were all comprised of adolescents who are 13-19 year. (Accessible Population) it included adolescents of age 13-19 years in selected senior secondary school of BHALWAL, Jammu. The sample size for present study was 100. Results: Among 100 adolescents, 29 (29%) had inadequate knowledge, 63 (63%) had moderate knowledge and 8 (8%) had adequate knowledge and the study also reveals that among 100 samples 10 (10%) had unhealthy practice, 61 (61%) neutral practice, 29 (29%) had healthy practice. Conclusion: It was concluded from findings of study there were significant association of knowledge score with demographic variables that is age, gender, parental education, monthly income.

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.

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)0.072
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0720.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.006
Scholarly communication0.0000.002
Open science0.0020.003
Research integrity0.0000.002
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 head0.257
GPT teacher head0.564
Teacher spread0.306 · 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