Droughts, Famines, and Chronicles: The 1780s Global Climatic Anomalies in Highland Ethiopia
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 Climatological data suggest that the key driver of drought in Highland Ethiopia, and in the wider Indian Ocean World, during the early 1780s was an El Niño Southern Oscillation anomaly. Ethiopia during this period—an early decade in the zemene mesafint (1769–1855)—endured considerable political instability. The lack of documentary evidence and an over-reliance on the Ethiopian Royal Chronicles has led historians to view reports of “famine” during the early zemene mesafint as indicative of severe environmental stress. A more critical reading of the Chronicles, by contrast, suggests that integrating its reports of warfare with the climatological record presents a more accurate chronology of drought severity and possible occurrences of famine.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it