The Relationship between the Feeling of Psychological Security among Talented Adolescents at Gifted and Talented Schools in Ajloun Governorate in Jordan and Academic Achievement Level
Bibliographic record
Abstract
This study aims to disclose the relationship between the feeling of psychological security among talented adolescents at Gifted and Talented Schools in Ajloun Governorate/Jordan and Academic Achievement level, and its relationship to some demographic factors: (gender, class). In order to achieve the objectives of the study, it was used Maslow scale of feeling of security, and it was developed by Al-diwani and Al-dirani (1983) to match the Jordanian Arab environment, and to identify and ensure validity and reliability, the sample consisted of 100 talented students were selected randomly from class of supreme basic and secondary schools. It was analyzed the data through the arithmetic averages standard deviations and value of (t), the multi variance analysis correlation coefficient between psychological security & academic achievement, and the study came up with some results including: that the level of psychological security between the talented students ranged between medium, high. And there is statistically significant effect when (α≤0.05) between psychological security and its dimensions at class factor for the seventh class (12 years) and there is statistically significant effect when α≤0.05 between psychological security and its dimensions at the gender factor in favor of females. And there is a positive correlation relationship between psychological security and its dimensions and academic achievement among the talented. And the results were discussed in the light of the theoretical framework & previous studies, it was suggested some recommendations on the basis of the results of the study.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".