The Impact of Awareness Kiosks (Ethics Kiosks) on Achieving Sustainable Development in Egyptian Society
Bibliographic record
Abstract
Civil society organizations are often limited to providing social assistance without having an influential role in the progress of societies and the achievement of sustainable development. Therefore, the researcher highlights the influential role of civil society and its institutions in raising awareness and improving sustainable development in society through the Ethics Kiosks project. The researcher aimed to study the impact of Awareness Kiosks (Ethics Kiosks) on achieving sustainable development in society. The Ethics Kiosk project has been applied in the old Labbana district of Port Said Governorate in Egypt since 2018 by the Meshakat Nour Foundation. The study depends on a descriptive theoretical approach and a questionnaire. The data were processed using (SPSS 25) and various statistical methods including testing reliability through Cronbach's alpha coefficient, Model Summary, ANOVA Test, and T-test. The results showed that there was a statistically significant relationship between the independent variables (social, health, educational, economic, and environmental fields) and the dependent variable (achieving sustainable development in society) and there was a significant impact of social, health, educational, economic, and environmental fields on achieving sustainable development in society. The kiosk achieved 12 of the United Nations sustainable development goals, and even added a basic goal that was overlooked by the United Nations, which is "modifying human behavior." These goals have been achieved through the various sub-programs of Ethics Kiosks, which are concerned with home repair, modifying infrastructure, economic empowerment of families, health, education, and recreational aspects for citizens in slums and impoverished areas.
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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 | 0.004 | 0.008 |
| 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 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".