Facing Environmental and Climate Challenges: Perception and Practice of Domestic Gardening in Kuwait Using GIS Tool and Employing Statistical Analysis
Bibliographic record
Abstract
Our study investigates domestic gardening in a comprehensive framework exploring different factors that contribute to the practice such as motivation and interest balanced against the environmental challenges. An online questionnaire was filled in by 965 persons for 60 days and distributed in many locations in Kuwait. An ArcMap was utilized to understand the distribution of respondents. We found that most of the respondents have home gardens and enjoy being around green spaces, and this in turn has affected their mood and positive feelings. The challenges associated with home gardening in Kuwait, with dry and degraded soil, were not discouraging factors for domestic gardening. Interestingly, a new significant pattern of gardening where individuals cultivated their gardens and used them to produce food amounting to 58% of their own consumption. Our finding led to better understanding of food-sufficiency on an individual level. Domestic gardening is a key player in food security and requires more attention.
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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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".