Features of the Jordanian Cultural Identity in the Islamic Education Books for the Two Phases of Primary and Secondary Education in Jordan
Bibliographic record
Abstract
The study aimed to investigate the subjects relating to the features of Jordanian cultural identity in Islamic educationbooks for secondary and basic stages in Jordan which are (23) books through analyzing their content. For achievingthe goals of the study, the researcher prepared an analysis list included a number of sub-elements distributed ongeneral domains. The validity was checked by specialists. The readability was (87%).The results indicated that thetotal of frequencies relating to the features of Jordanian culture identity were (589). The most frequencies appearedin the domain of culture components (166) with ratio of (28.1%), followed by the domain of national cooperation'swith (113) frequencies and ratio of (19.1%). The domain of Jordanian geography was (111) frequencies and ratio of(19%), then the domain of history and genesis with (109) frequencies and ratio of (18.5%). the domain of currentJordanian role comes after with (54) frequencies and ratio of (92%).The least domain was the Hashemite leadershipwith (36) frequencies and ratio of (6.1%). Most of frequencies were in the 10th grade book with (178) frequenciesand ratio of (30.2%). The least frequencies were in the 8th grade book with (7) ) frequencies and ratio of (1.2%). Thestudy recommends that extra research and practice should be done benefiting from the analysis list used in this studywhen planning and setting up Islamic education books. The study suggested that other studies should be conductedrelating to features of Jordanian cultural identity in curricula and books.
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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 | 0.002 | 0.002 |
| 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) | 0.004 | 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".