Impact of the Subject of Political Science on Students Awareness in Petra University: A Case of Jordan
Bibliographic record
Abstract
The study aimed at recognizing the impact of the subject of political science on students’ awareness at Petra University. There are a grip of questions raised to be answered, and a sample of the study, consisted of (131) students had been chosen. These students were registered at three sections on the commencement of the academic year 2012/2013. A questionnaire had been organized for the sake of collecting information. This questionnaire leaned on (30) items and distributed. Just 87 items were valid and analyzed. The degree of political awareness among students was high at an arithmetic mean of (3.70), added to differences with statistical significance at the degree of the impact of political awareness at students due to their view and the variable of sex, opposite to differences of the faculty variable and its grade average-GPA. In the shadow of the results, the researcher recommends for further more studies on the very subject to disseminate the subject of politics at all universities which do not have this subject in their curriculums.
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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 | 0.002 | 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 | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".