Relationship between alexithymia and career decision -making self-efficacy among Tenth and Eleventh grade students in Muscat governorate
Bibliographic record
Abstract
The purpose of this study was to examine the relationship between alexithymia and career decision -making self-efficacy among Tenth and Eleventh grade students in Muscat governorate. To achieve this purpose, Alexithymia Scale (AS),and CDMSE Short Form were administered to a total sample of 556 students of Tenth and Eleventh grades ( (n = 278) males and (n = 278) females . Findings revealed that the level of alexithymia was less than the mean of items, while the level of CDMSE was more than the mean of items, as well as there was no significant correlational relationship between alexithymia and CDMSE. The findings also indicated that there were significant gender differences in alexithymia, while there were no significant gender differences in CDMSE. With regard to GPA, the findings revealed that there were no significant differences in alexithymia, while there were significant differences in CDMSE. Conclusion: It concludes that although there was no significant correlational relationship between alexithymia and career decision-making self-efficacy, alexithymia negatively affects individual’s decisions in life.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".