Assessing the Role of Social Capital in Promoting Water Conservation: A Study of Egyptian Universities
Bibliographic record
Abstract
This study investigates the role of social capital in shaping environmental responsibility concerning water issues across three Egyptian universities: Beni Suef, Ain Shams, and Alexandria. Using the 36-item Bullen and Onyx social capital scale, a survey of approximately 120 participants was conducted to assess whether social capital and demographic factors influence a sense of responsibility toward water conservation. Logistic regression analysis revealed that social capital was the only significant predictor of responsibility for water-related issues, while demographic factors such as gender, age, and qualifications did not have significant effects. Although the model as a whole was not statistically significant, these findings underscore the value of social capital in water management policies and strategies, suggesting it could play a key role in fostering community engagement and environmental stewardship. Future studies would benefit from a larger, more diverse sample that includes both public and private universities, as well as an enhanced social capital measure accounting for digital networks, income, and longitudinal data to strengthen the findings’ relevance and impact.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".