Restoring the Garden of Eden: Negative Impacts by Ali Abdul Zahra Douabul and Sama Sameer AlMaarofi
Bibliographic record
Abstract
Widely known as the “Garden of Eden”, the extensive Mesopotamian Marshes in Iraq once teemed with life. The marshes were the source of the Shatt Al Arab River and provided fresh water and aquatic resources to many communities downstream. Almost half a century of poor management and intentional drainage by military campaigns, government diversion and irrigation usage have resulted in a substantial deterioration of water quality and subsequent loss of wildlife and habitat. With good intentions, inundation efforts were implemented and additional measures are planned by the Iraqi government to regulate water flow; however decisions have not been based on sufficient scientific data and the complex marshland interactions have not been fully understood. A common misconception is that salinity increases have resulted from Arabian Gulf salt intrusions. Field studies conducted through the Marine Science Centre at the University of Basrah (Iraq) investigated various environmental parameters pertaining to hydrology, water quality, ecology and sedimentology between 2004 and 2013 within the Shatt Al-Arab. The data highlights the integral role of the marshes in maintaining water quality in the Shatt Al-Arab and that the marshes are the main source of salt upstream of the Shatt Al-Arab.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".