The Status of Awareness About Climate Change and Environmental Conservation Among Higher Education Students in Mogadishu City, Somalia
Bibliographic record
Abstract
This study aimed to determine the status of higher education students' awareness about Climate Change and Environmental Conservation.The research was quantitative and used survey questionnaire for data collection.The participants were 350 higher education students selected purposively from 5 universities in Mogadishu, Somalia.The study employed a correlational design and found that there is a positive moderate relationship (r = 0.567) between students' Status of Awareness (SAW) and Climate Change and Environmental Conservation (CCaEC).The work also used regression analysis to determine how the independent variable affects the dependent variable, and the output was R 2 = 0.322.The hypothesis testing revealed that Students' Awareness of climate change significantly impacted environmental conservation (p-value = 0.000).The Commission for Higher Education in Somalia should therefore develop an environmental protection plan, according to the researchers' recommendations.This approach will not be implemented until people's awareness in the field of education is raised.By implementing the research's suggestions, it is hoped that the findings of this study will increase higher education institutions' involvement in environmental preservation to protect the Somalia's fragile degraded environmental resources.The findings will also offer a policy direction.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".