Parks in Al Ain, UAE: Geographical Distribution, Opportunities, and Challenges
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Parks in Al Ain city, UAE, face two problems: water and spatial distribution. Water consumption is increasing dramatically in the city as a result of increased population and the activities of agriculture and industry. Maintaining parks and saving water in an arid environment is a challenging task. This study examines water consumption by parks and the use of remote sensing to estimate it. Green areas in parks were calculated from remote-sensing images, and the areas were correlated with water consumption. The study also investigates the spatial distribution of parks in Al Ain in relation to population (equity), and demonstrates the use of GIS as an analytical tool and the value of remote sensing in assessing the pattern of relative household income of residents near the parks. Three evaluation indicators were used: number of cars, size of houses, and occurrence of home gardens. The appearance of home gardens on a large scale is considered a new phenomenon in Al Ain and reflects social and economic change...
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it