The Relation between Social Skills of Caregivers and Psycho-Social Problems among Orphans
Bibliographic record
Abstract
Background: Orphans in Egypt suffer psychologically when they are mistreated, given inadequate care, or placed in the care of unskilled caregivers. This influence, raising the possibility that orphans will develop psychopathology that persists into adulthood. Purpose: Assess the relation between social skills of caregivers and psycho-social problems among orphans at orphanages. Design: A descriptive correlational design was utilized. Setting: The study was conducted at five Orphans care centers in Shebin El-kom, Menoufia governorate, Egypt. Sampling: A consecutive sample of 85 orphans, 36 caregivers and 21 orphans’ teachers were included. Instruments: Three instruments were used: 1) A structural interview questionnaire to assess socio-demographic characteristics of children, their teachers and caregivers.2) Strengths and difficulties questionnaire teacher -version 3) Social skills inventory. Results: The highest percentage of the studied caregivers had moderate level of social skills (88.9%). Nearly two thirds of the studied orphans (60%) had abnormal level of conduct problems, about one quarter (23.5%) of the studied orphans had abnormal level of peer problems and 25.9% of studied orphans had abnormal level of prosocial problems. Conclusion: There was a statistically significant negative relation between total social skills of caregivers and total psychosocial problems of orphan children. Future research was recommended to assess other caregiver qualifications and psychological problems that impair provide proper care to orphans and contributing them to psychosocial problems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".