A Study on the Contribution of Saudi Citizens Towards Sustainable Development Goals in the Attainment of Environmental Sustainability
Bibliographic record
Abstract
This research measures Saudis' environmental awareness. A survey questionnaire that was sent out electronically across the Kingdom has 21 Likert scale questions, ranging from "strongly disagree" to "strongly agree," and nine "yes" or "no" questions about activities that are good for the environment. The first part of the questionnaire used binary logistic regression, demographics, and component analysis to test possible hypotheses. All nine statements utilized for Structural Equation Modelling (SEM) in the last section were significant. The factor analysis found three. One of these characteristics revealed a significant gender response, showing that women are more open to and responsive to environmental awareness activities than men. Those who took an environmental course were 1.304 times more ecologically aware than those who did not (factor 2). Participating in campus activities makes 1.449 people more environmentally conscious. This study shows the importance of teaching males about the environment to make it more sustainable.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".