The Attitudes of Jordanian Kindergarten Female Teachers Towards Children's Libraries
Bibliographic record
Abstract
The study aimed at identifying the attitudes of Jordanian female kindergarten teachers towards children's libraries. It also aimed at identifying whether there is any statistically significant difference – at the statistical significance level of (a ≤ 0.05) - between respondents’ attitudes which can be attributed to their years of experience or academic qualifications. The sample consisted of (161) out of 167 (96.4%), female kindergarten teachers in the public schools located in Karak Governorate, Jordan. A questionnaire was used for collecting data. Several statistical methods were used. It was found that Jordanian female kindergarten teachers in Karak Governorate have moderate attitudes towards children's libraries. It was also found that there is a statistically significant difference - at the statistical significance level of (a ≤ 0.05) between the respondents’ attitudes towards children's libraries which can be attributed to their years of experience and academic qualification. The study recommended that more attention should be paid to achieve the goals of the Child's Library. She also recommended the need to improve the reality of the libraries, and continue to provide them with the latest sources of information allocated to children by different age groups of childhood, and secure qualified teacher/ librarians.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".