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Record W2909425284 · doi:10.5430/wje.v9n1p28

Child Abuse and Children’s Strategies to Cope with Abuse

2019· article· en· W2909425284 on OpenAlexvenueno aff
Devrim Erginsoy Osmanoğlu

Bibliographic record

VenueWorld Journal of Education · 2019
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsnot available
Fundersnot available
KeywordsChild abuseDignityPsychologyPsychiatryClinical psychologySuicide preventionDevelopmental psychologyPoison controlMedicineMedical emergency

Abstract

fetched live from OpenAlex

health, life, development and / or dignity. The prevention of abuse will be possible through the recognition of abuseand abuser by the child and strengthening of the active strategies used by the child to act against them. In line withthe general purpose of the study, answer to the questions “Which age groups from among the elementary school andsecondary school students are under the risk in terms of being abused?”, “Which type of abuse is frequentlyexperienced by the child?”, “Who are the abusers?”, “What are the strategies used by the child abused to cope withthe incidence of abuse?” were sought. An opinion form consisted of 8 questions was used in the current research.The data collected from a total of 616 students were subjected to content analysis. According to the results obtained75% of the children from different age groups were found to have been subject to abuse and all the age groups weremost abused by their peers, followed by family members and relatives.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.315
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.274
Teacher spread0.268 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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