Complex (multispecies) livestock keeping: Highland agricultural strategy in the northern Horn of Africa during the Pre-Aksumite (1600 BCE–400 BCE) and Aksumite (400 BCE–CE 800) periods
Bibliographic record
Abstract
The earliest settlements and states in the Horn of Africa were founded in mid to high-elevation areas by farmers and herders who were pioneers in agriculture and herding. Even today, places between mid- and high-elevation remain densely populated. The ancient Pre-Aksumites and Aksumites (1600 cal BCE–800 cal CE) of the north Ethiopian and Eritrean highlands established one of the most powerful states in the Horn of Africa in these high elevation areas through control of long-distance trade and intensive and extensive agriculture. However, despite the fact that agriculture was a significant source of wealth and subsistence for these ancient polities, there has been little research into the agricultural strategies of Pre-Aksumite and Aksumite societies. Using archaeological and faunal data collected from the site of Mezber dating from 1600 cal BCE to 400 cal CE, as well as prevsiously published data, this article provides zooarchaeological evidence for the earliest farming practices in the Horn of Africa. The research demonstrates a resilient highland agricultural strategy based on multispecies animal and plant resources, similar to most tropical agricultural systems today. A second important strategy of Pre-Aksumite farmers was the incorporation of both indigenous and exogenous plants and animals into their subsistance strategies. The Mezber site also offers one of the most thoroughly collected data to support multispecies farming practice in the north Ethiopian and Eritrean highlands.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".