The Quality of Mainstreaming in Preschool: The Views of Parents of Children with Down Syndrome
Bibliographic record
Abstract
Down syndrome (DS), one of the developmental (cognitive) deficits, is the most common syndrome that arises from genetic disorders. The mothers of children with DS who encounter the most intense emotional situations since the tendency to take responsibility the children’s care and development usually belongs them. Among these intensive feelings, mothers are also responsible for providing needs, such as special education support, searching for a suitable preschool institution to accept their children, and access to specialists who can understand their medical needs. This case study aims to investigate the opinions of the mothers whose children with DS aged between 36-72 months were attending preschool. The data were collected using semi-structured interview techniques in three different preschool institutions where the mainstreaming was carried out in the district center of Gaziantep, Şahinbey. Interviews were conducted with five mothers whose DS children went to the preschool institution in the spring semester during 2015-2106 academic year. Descriptive and content qualitative analyses were used to analyze the data. The findings regarding the opinions of the mothers of DS children on the quality of the mainstreaming practices revealed the following salient themes: Early experiences before mainstreaming, quality of mainstreaming at preschool and inclusion. The findings showed that inclusion practices have not been adopted in mainstreaming practices in our country; therefore, the most reliable sources mothers preferred to follow was the experienced families who had children with DS in the preschool.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".