Criteria of Social-Ethics and Its Effects on Electronic Promotion Activities in Jordanian Higher Education
Bibliographic record
Abstract
The purpose of this paper is to investigate the effect of the social-ethics required criteria on electronic promotion activities for higher education in Jordan for last 20 years. More specifically, the study chose the Jordanian higher education sector (JHES). In terms of the methodology of study, the population included (100) managers of universities in Jordan but we choose (90) managers and response rate was (88) managers (98%). The study concluded and explains that electronic promotion activities in private and public sector face a lack of rely criteria dimensions ethically, socially, rapid changes in business environment, competitors, distinctive, customer’s requirements, digital revolution, target market, laws, and economy statue education requirements. The study recommended that Jordanian private higher education sector must be commitment and opt-out by their criteria dimensions in social-ethics parts by electronic promotion activities, competitive situation, develop the methods technological, enhance market share, satisfy the customers, make a marketing research, develop new methods for education sectors and the universities goals of electronic promotion.
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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 | 0.009 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".