Analysis of Preschool Period Children's Listening Skill According to Some Variables
Bibliographic record
Abstract
This research was carried out to determine the listening skill of the children attending pre-school education institutions and to analyze them according to some socio-demographic variables. The research was carried out in the general survey model, one of the quantitative research methods. The sample of the study wascomprised of 429 children attending kindergarten and nursery classin the central districts of Eskisehir and Usak. The data collection tool used in the research was “The Scale for the Evaluation of Preschool Children’s Listening Skill” developed by Özer Özkan and Coşkun (2015). The listening skill of the children were analyzed according to child's age, gender, birth order, number of siblings, school attendance time, and age, education and employment of the parents. The listening skill scores of the children participating in the research were found to be high. It was found that the scale did not differ significantly according to gender, birth order, school attendance time, education level and employment status of the parents, however, it differed according to the age of the child and the age of the parents.Findings obtained from the research were discussed in line with the related literature and suggestions were submitted.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".