The Vocational and Psychological Guiding and Counseling Needs of Students at Al-Balqa Applied University
Bibliographic record
Abstract
The study aims to expose the vocational and psychological guiding and counseling needs of students at Al-Balqa' Applied University (BAU), and the study tool was implemented; after confirming the sincerity and stability of it, which consists of (60) articles, that represents the vocational and psychological guiding and counseling needs for its sample of (291) BAU students for the second semester of the academic year (2016-2017). The study results showed that level of vocational and psychological guiding and counseling needs of students at BAU is medium, where (28) articles of needs came at high level, while (32) came at medium level. It showed the existence of statistically significant difference at (α = 0.05) level between the arithmetic means of study sample members estimation on the articles of vocational and psychological guiding and counseling needs scale, as a whole, due to the sex variable of female, and the existence of statistically significant difference at (α = 0.05) level between the arithmetic means of study sample members estimation on the articles of vocational and psychological guiding and counseling needs scale, as a whole, due to the study phase variable of diploma compared with the bachelor degree, and it also showed the existence of statistically significant difference at (α = 0.05) level between the arithmetic means of study sample members estimation on the articles of vocational and psychological guiding and counseling needs scale, as a whole, due to the major variable of humanity and occupational compared with the science major.
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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 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".