Pre-Aksumite and Aksumite Agricultural Economy at Ona Adi, Tigrai (Ethiopia): First look at a 1000-Year History
Bibliographic record
Abstract
Abstract Archaeobotanical investigations at the site of Ona Adi in Tigrai were conducted during the 2013–2015 field seasons within the framework of the Eastern Tigrai Archaeological Project (ETAP). The site occupation spanned the Middle/Late Pre-Aksumite period (ca. 750/600 BCE) to the fall of the Aksumite Kingdom (ca. 700 CE), including the Pre-Aksumite to Aksumite transition (ca. 400 BCE–CE 1). The main objective of the study was to examine the agricultural economy in Eastern Tigrai during these periods and to evaluate the impact of social and cultural developments on the agricultural practices at Ona Adi. Recovered macrobotanical remains included wheat, barley, linseed, noog, lentil, and wild/weedy plants. In addition, evidence of finger millet was recovered along with tentative identifications of t’ef. The phytolith record shows evidence of grass processing, including morphotypes associated with Chloridoideae, Panicoideae, and Pooideae grasses. Results indicate that plants of both African and Southwest Asian origins were present in the region from the mid-eighth century BCE to the eighth century CE, but their relative importance varied throughout time in relation to socio-political changes at the regional level. Our data demonstrate a significant degree of continuity in the local agricultural economy, which remained largely unchanged even after the decline of Aksumite state.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".