CONTINUITY AND CHANGE IN THE LATE PLEISTOCENE LITHIC INDUSTRIES OF THE CENTRAL ZAGROS: A TYPO-TECHNOLOGICAL ANALYSIS OF LITHIC ASSEMBLAGES FROM GHAR-E KHAR CAVE, BISOTUN, IRAN
Bibliographic record
Abstract
The paper presents a typo-technological analysis of the lithic assemblages from the 1965 excavation of Khar cave in mountainous region of Central Zagros, Iran. Khar cave is one of the rare excavated Paleolithic sites in Zagros region with a stratifi ed sequence encompassing archaeological materials from both MIS 2 and MIS 3. The research is based on typo-technological characteristics of artifacts from the both parts of the Khar cave lithic assemblage, which are stored in the National Museum of Iran and in the Montreal University and have not been properly studied in terms of technology. The paper addresses the issue of Middle to Upper Paleolithic transition in Zagros, technological characteristics of Baradostian/Zagros Aurignacian industries, and the possibility of industrial evolution from the late Baradostian to the early Zarzian. Despite the small size of the assemblage, the analysis illustrates a sequence of changes and continuity in core reduction strategies and tools production in Khar cave, beginning from Late Middle Paleolithic to Epipaleolithic. However based on the current state of data, the paper reaches a conclusion that our technological data supporting the hypothesis of Middle to Upper Paleolithic continuity in Zagros are insuffi cient and we can neither confi rm nor reject the possibility of a gradual transition in this region.
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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 | 0.004 | 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) | 0.001 | 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".