Bibliographic record
Abstract
Media in our time is the force behind driving the formation of awareness of society in terms of citizenship and social stability. It builds a society in terms of values, but also destroys beliefs and values that may have been formed ages ago. It is a double-edged weapon. This study aims to present the concept of media, its importance and role in society with regard to social stability and indicate the role of Saudi media in contributing to social stability from the perspective of faculty members in Saudi universities. The Results show that Media in this age is what sets the agenda for the public and is usually subject to media professionals. In addition, Media during the process of formulating its message succumbs to the pressures of its sponsors, regardless of their scientific level and background. In light of the results of this study, the researcher recommends that Saudi media be given the importance of the dialogue methods used in its programs and coverage so that the public can learn how to respect dissenting opinions. This is achieved via setting up a lot of areas for meaningful discussions so that the public can accept it and that there are opinions that must not be marginalized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".