Pre-Primary Education in Jordan: Issues of Access and Participation
Bibliographic record
Abstract
Pre-primary education in Jordan is still facing several barriers especially at the time of massive influx of Syrian refuges to the country. This study came to examine the detailed profiles of out-of-school children at pre-primary stage in Jordan in order to highlight the major barriers to school access and participation, analyze existing and emerging education policies and strategies to tackle key bottlenecks; and provide recommendations for improvement to policy makers. Data were collected from several sources utilizing both quantitative and qualitative approaches. Results showed that 41% (45,862) of pre-primary Jordanian students are currently not enrolled in schools. Additionally, female students seem to be more willing to attend pre-primary schools (59.7%) comparing to their male counterparts (58.3%). Several recommendations were offered to enhance the access and participation of pre-primary children in schools such as; establishing more pre-primary centers in urban areas and providing specialized professional development for Pre-primary teachers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".