Vocational Adjustment Level of Employees at Irbid University College
Bibliographic record
Abstract
The current study aimed to detect the vocational adjustment level of employees at Irbid University College, and to achieve this goal the study tool; vocational adjustment measurement was developed by the researcher and implemented, after confirming its constancy, stability, and truthfulness, which consist of (36) paragraphs spreading over four dimensions (The reality of work climate, physical income, relationship with co-workers, and relationship with management) on the study populations which consist of (141) employees, and the respondents of (121) of those were subject to the statistical analysis. The study results showed the overall vocational adjustment level of employees at Irbid University College to be medium, where all the dimensions came at medium level, in the order (The reality of working climate, physical income, relationship with coworkers, and relationship with management). The study results also showed the existence of statistically significant difference at level (α = 0.05) between the two arithmetic means of study sample member estimates on all dimensions of vocational adjustment measurement, and on it all together, due to the sex variable, and in favor of males, and the existence of statistically significant difference at level (α = 0.05) between the two arithmetic means of study sample member estimates on all dimensions of vocational adjustment measurement, and on it all together, due to the years of experience variable, and in favor of employees with years of experience of (10 years or more), and also the non- existence of statistically significant difference at level (α = 0.05) between the two arithmetic means of study sample member estimates on all dimensions of vocational adjustment measurement, and on it all together, due to the interaction between the two variables of sex and years of experience.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".