Robberg Material Procurement and Transport in the Doring River Catchment: Evidence from the Open-Air Locality of Uitspankraal 9, Western Cape, South Africa
Bibliographic record
Abstract
Abstract Decisions related to the production of lithic technology involve landscape-scale patterns of resource acquisition and transport that are not observable in assemblages from any one single site. In this study, we describe the stone artifacts from a discrete cluster of stone artifacts assigned to the Robberg technocomplex (22-16 ka) at the open-air locality of Uitspankraal 9 (UPK9), which is located near two major sources of toolstone in the Doring River catchment of Western Cape, South Africa. OSL dating of the underlying sediment unit provides a terminus post quem age of 27.5 ± 2.1 ka for the assemblage. Comparison of near-source artifact reduction at UPK9 with data from three rock shelter assemblages within the Doring watershed – Putslaagte 8 (PL8), Klipfonteinrand Rock Shelter (KFR), and Mertenhof Rock Shelter (MRS) – suggests that “gearing-up” with cores and blanks occurred along the river in anticipation of transport into the wider catchment area. The results reveal an integrated system of technological supply in which raw materials from different sources were acquired, reduced, and transported in different ways throughout the Doring River 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 | 0.002 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".