Evaluating the Moral Intelligence of the Late Childhood (9-12) Years in Jordan: Al-Karak Governorate Case
Bibliographic record
Abstract
This research aims to revealing the moral intelligence level of the late childhood stage’s children (9-12) years old in Al-Karak governorate in Jordan. In addition, revealing the differences according the variables (gender, family age, parent educational level, family size) on the level of the moral intelligence of the late childhood children’s stage (9-12) years old in Al-Karak governorate in Jordan. Research population consists of the children whose ages range from (9-12) years old in Al-Karak governorate in Jordan, they are the children that pertain to the late childhood stage, which means the children who study in the third, fourth , fifth and sixth grades. After treating the data with the relevant statistical methods, the results showed that the level of moral intelligence was at a medium level of the late childhood children’s stage (9-12) years old in Al-Karak governorate in Jordan. Moreover, the results indicated that there were no significant differences between the moral intelligence of the children according to (gender, family size, parent’s educational level). On the other hand, the study showed there was a significant difference between the moral intelligence on the late childhood children’s stage (9-12) years old in Al-Karak governorate in Jordan on the variable of parent’s age.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".