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Record W2990000041 · doi:10.21608/asnj.2019.58673

Violence Against Disabled Children Assiut governorate

2014· article· en· W2990000041 on OpenAlexaboutno aff
Nessma Omer

Bibliographic record

VenueAssiut Scientific Nursing Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)Disabled peopleQuarter (Canadian coin)PsychologySexual violenceLearning disabledMedicineClinical psychologyPsychiatryNursingLearning disabilitySocial psychologyGeography

Abstract

fetched live from OpenAlex

Back ground: Children with disabilities were more likely exposed to violence than non-disabled children to be seen as having characteristics that contributed to violence. Aim of the study: To assess forms and determinants of violence against disabled children Subjects and Methods: A cross-sectional study was conducted on (800) disabled children and their care givers in Assiut Governorate. Systematic random sample techniques was used to include all subjects fulfilling the inclusion criteria. A structured interview questionnaire was used which included questions regarding the personal characteristics of children and violence. Results: The present study showed that the majority of the subjects (79.5%, 66.4%) respectively were exposed to psychological and physical violence. Slightly more than one quarter (27.6%) were exposed to sexual violence. Conclusion: it was found that approximately one third of them had bruises in their bodies from physical violence. Recommendations: An educational program should be designed for families and teachers about the effect of violence on disabled children, its prevention and nonviolent discipline techniques through mass media.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.000
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 head0.015
GPT teacher head0.314
Teacher spread0.299 · 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 designOther design
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
Published2014
Admission routes1
Has abstractyes

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