LATE CHALCOLITHIC CERAMIC DEVELOPMENT IN SOUTHERN IRAQI KURDISTAN: THE STRATIGRAPHIC SOUNDING AT KANI SHAIE
Bibliographic record
Abstract
Kani Shaie is a small archaeological site in the Kurdistan Region of Iraq, centrally located in the Bazian Basin, a narrow valley at the western edge of the Zagros Mountains along the major route between Kirkuk and Sulaymaniyah. Its main mound was inhabited almost continuously from the fifth to the middle of the third millennium, c. 5000–2500 B.C.E. This period of Mesopotamian prehistory, corresponding to the Chalcolithic and Early Bronze Age, witnessed major transformations such as initial urbanism and intensification of interregional interaction networks. The recent resurgence of fieldwork in the Kurdistan Region of Iraq is beginning to reveal local trajectories that do not always match the established chronological framework, which is largely based on changes in ceramic technology and styles observed in northern Mesopotamia. Here, we discuss the ceramic sequence retrieved from a step trench at Kani Shaie spanning the entire Late Chalcolithic (c. 4600–3100 B.C.E.). A bottom-up approach to potting traditions at the site allows an initial assessment of the relationship between local communities in the Zagros foothills and large-scale developments in the Mesopotamian world. We argue that the evidence from Kani Shaie reflects a long process in which different communities of practice made active choices of adopting, adapting, or rejecting non-local cultural practices.
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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 | 0.003 |
| 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".