The Role of Social Networking Sites in Creating Moral Crisis and the Role of the University in Confronting It from the View Point of Qassim University Faculty Members
Bibliographic record
Abstract
The study aimed at recognizing the effect of the social networking sites (henceforth snss) in creating moral crisis and the role of the university in its confrontation from the view point of faculty members at Qassim University. Two tests were constructed; the first included (29 items) developed to identify the role of snss in creating moral crisis from the view point of faculty members at Qassim University, the second included (25 items) developed to identify the role of the university in confronting the moral crisis from the view point of faculty members at Qassim University. Faculty members (No. 154) at Qassim University completed the two tests, they rated the role of snss in creating the moral crisis, it was moderate; the overall means score was (2.16). The role of the university in confronting the moral crisis from the view point of the faculty members was moderate also; the overall mean score was (2.20). Statistical differences of type of the faculty and the academic degree were not found.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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".