An assessment of climate change impacts on oases in northern Africa
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
• Oases are vulnerable ecosystems affected by climate change. • Projected air temperature changes under an extreme global warming scenario are statistically significant for all oases studied. • The impact of the projected changes is likely to lead to a greater groundwater demand. • Water shortage is a trend paralleled by a reduction in precipitation. Oases are vulnerable ecosystems that are affected by climate change. Using high-resolution climate models focusing on northern Africa, we investigate the changes in the agrosystems of oases. Projected air temperature changes under an extreme global warming scenario are statistically significant for all oases studied, with an increase of up to 4–4.5 °C by the end of the century. The impact of the projected warming is likely to lead to an increased groundwater demand, with a parallel trend in reduced precipitation. Combined, these processes endanger the long-term socio-economic prospect of oases.
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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 | 0.001 |
| 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