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
Abstract Since human activities and ecosystem health are dependent on adequate, reliable water supplies, droughts pose a serious threat to society and the environment. Over much of the Northern Hemisphere high latitudes, droughts are a recurrent feature of the natural climate as evidenced from direct measurements during the instrumental period, and as inferred from paleo‐reconstructions dating back several centuries. However, concern has been expressed regarding climate‐change impacts on future drought frequency, duration, and severity over various regions of the world and in particular, continental interior regions at high latitudes. This article synthesizes relevant scientific research regarding drought in the North American Great Plains, and the Canadian Prairies in particular. First, we review existing knowledge regarding the large‐scale atmospheric causes of North American drought. This is followed by a synopsis of past trends and variability of drought occurrence in the instrumental and paleo record. We then summarize research on the future drought in a changing climate. This article concludes with the identification of major research gaps that will aid in the ability to understand and predict future changes to Great Plains' droughts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.004 | 0.001 |
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