Bibliographic record
Abstract
Abstract During the first millennium BCE, extensive trade networks linked the South Arabian and Mediterranean worlds. While these trade networks are well known for their transport of highly lucrative materials, these connections afforded myriad economic and diplomatic opportunities for the intermediaries located along its routes, and held significant bearing on the political economies of southern Levantine kingdoms. While the wealth and opportunity afforded by the Arabian trade to these kingdoms are frequently invoked—particularly in relation to Edom—such references, and related discussions of the Arabian trade, are often restricted in their chronological scope and reliant on limited data. Recent scholarship on Edom, however, has substantially contributed to a more detailed understanding of settlement trajectories and shifts in sociopolitical organization, which, combined with recent archaeological research on varied aspects of the Arabian trade, necessitate an expanded synthesis of the trajectory of this trade and its relation to Edom. This work thus presents first an outline of the diachronic trajectory of the Arabian trade in relation to the southern Levant using textual and material culture data, and second, analyzes it within the context of sociopolitical developments in the late Iron Age kingdom of Edom. Ultimately, this work argues for a close association between the flourishing of long-distance trade in the southern Levant and the presence of sedentary sociopolitical complexity in southern Transjordan, as evident in the kingdoms of Edom and later Nabataea.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".