The Youth: Values and Attitudes: A Survey Administered on Students at Al-Hussein Bin Talal University
Bibliographic record
Abstract
This survey aims at unveiling the values and attitudes of a sample of Al-Hussein Bin Talal University’s students. This goal is pursued by identifying the student’s personal and social values trends and attitudes vis a vis a number of women related issues, as well as the political and intellectual streams in the Jordanian society. In pursuit of these goals, an analytical descriptive methodology was adopted for the study. To that end, a random sample of male and female students was selected; amounting to (2105) students from different faculties and years of study. A number of key outcomes were concluded from the study; primarily: the personal and social values trends of respondents on a macro-level revealed a low rate, with an arithmetic mean of 1.6. On the other hand, attitudes vis a vis women-related issues have recorded a medium rate at an arithmetic mean of 2.37. The study has also indicated some statistically significant gender-based differences in terms of personal and social values trends as well as women related issues in the Jordanian society. The difference came in favor of female students. Some sections of the study have also shown a gender-based imbalance in favor of male students pertaining to the latter’s superiority in business administration, and the importance of higher education for males as opposed to females. These attitudes in their entirety to reflect a stereotypical perception of typical gender roles. On the other hand, upon examining the political and intellectual attitudes of respondents; over half of the respondents 54% demonstrated allegiance and sense of belonging to their homeland in Jordan; while 42% of respondents demonstrated a moderate interest in politics. Furthermore, 53% of responses indicated that the most significant challenge Jordan is currently encountering is financial and administrative corruption.
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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 | 0.001 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".