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Record W2342763772 · doi:10.31686/ijier.vol3.iss11.473

Role of the School Nurse as perceived by school children Parent in Jeddah.

2015· article· en· W2342763772 on OpenAlexaboutno aff
Houaida Helal, Dema Al Hudaifi, Mervat Bajoudah, Ghida Almaggrby

Bibliographic record

VenueInternational Journal for Innovation Education and Research · 2015
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)Christian ministrySchool nurseQuarter (Canadian coin)NursingSchool nursingPsychologyDescriptive researchFamily medicineMedicineMedical educationSociologyPolitical scienceGeography

Abstract

fetched live from OpenAlex

Descriptive research design was used to determine the school nurse role as perceived by the school children’ parents in Jeddah. A convenience sample was recruited for the study. The estimated number was 200 school children’parents living in Jeddah.The study was conducted at different public places in Jeddah. The study questionnaire included three parts. First, Socio-demographic data, second, a list of responsibilities of school nurse classified according to the school health program components and third, open-ended questions regarding the most important responsibility of the school nurse and the most important health education topic as perceived by the parents. The results of this study revealed that 82.5 % of the study subjects were mothers. The majority of schools don’t have the school nurse, and 6 % have a school nurse, and all the parents prefer hiring a school nurse for their children schools. Regarding the most important responsibility of the school nurse as perceived by the parents, screening was considered her first responsibility by nearly a quarter of parents, while 22 % of the parents agreed that prevention and control of communicable diseases was the first important health education topic. Recommendation: The Ministry of Education should recruit a nurse for each school with at least a higher nursing graduation and provide her with enough equipment and facilities.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.282
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.129
GPT teacher head0.575
Teacher spread0.446 · 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.

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

Citations7
Published2015
Admission routes1
Has abstractyes

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