Arabic Linguistic Identity and the Tribal Confederacy of the Ghassan on the Eve of the Islamic Conquests
Bibliographic record
Abstract
In 528/9 AD, al-Harith, the leader of a tribal confederation known as the Ghassan, was recognized as Rome’s ally on the eastern frontier. This alliance established the Ghassan, despite following a heretical Christian sect, as the principal authority in what is modern-day Syria and Jordan. This alliance also secured the Ghassan’s right to collect taxes independently and to mobilize against the Empire’s enemies. Moreover, Ghassanid leaders received distinguished epithets which had previously been reserved largely for the Roman aristocracy. A recently discovered mosaic in northern Jordan suggests that these titles were being used by the Ghassan not in isolation but as stratified ranks for their ruling class. Furthermore, this mosaic, along with significant epigraphic evidence, suggests that the Ghassan spoke Arabic well before the Islamic conquests, despite many scholars’ belief that the Ghassan spoke Christian Palestinian Aramaic. Although it is difficult to define an Arab identity prior to the Islamic conquests, the Arabs of South Arabia would have shared at least a common language with the Ghassan to the North. Additionally, it cannot be doubted that the Ghassan would have had direct contact with Muhammad’s ancestors through trade routes such as Wadi Sirhan. Early adherents to Islam may have seen this Arab group in the North, which had been able to achieve a semi-autonomous existence on the Roman frontier, despite neither following the orthodox faith nor being native speakers of Greek or Latin, as a potential model for a new Arab polity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".