The Matatiele Archaeology and Rock Art (MARA) Program Excavations: The Archaeology of Mafusing 1 Rock Shelter, Eastern Cape, South Africa
Bibliographic record
Abstract
Abstract The rock shelter Mafusing 1 was excavated in 2011 as part of the Matatiele Archaeology and Rock Art orMARAresearch programme initiated in the same year. This programme endeavours to redress the much-neglected history of this region of South Africa, which until 1994 formed part of the wider ‘Transkei’ apartheid homeland. Derricourt’s 1977Prehistoric Man in the Ciskei and Transkeiconstituted the last archaeological survey in this area. However, the coverage for the Matatiele region was limited, and relied largely on van Riet Lowe’s site list of the 1930s. Thus far, theMARAprogramme has documented more than 200 rock art sites in systematic survey and has excavated two shelters – Mafusing 1 (MAF1) and Gladstone 1 (forthcoming). Here we present analyses of the excavated material from theMAF1 site, which illustrates the archaeological component of the wider historical and heritage-related programme focus. Our main findings atMAF1 to date include a continuous, well stratified cultural sequence dating from the middle Holocene up to 2400 cal.BP. Ages obtained from these deposits are suggestive of hunter-gatherer occupation pulses atMAF1, with possible abandonment of the site over the course of two millennia in the middle Holocene. After a major roof collapse altered the morphology of the shelter, there was a significant change in the character of occupation atMAF1, reflected in both the artefact assemblage composition and the construction of a rectilinear structure within the shelter sometime after 2400 cal.BP. The presence of a lithic artefact assemblage from this latter phase of occupation atMAF1 confirms the continued use of the site by hunter-gatherers, while the presence of pottery and in particular the construction of a putative rectilinear dwelling and associated animal enclosure points to occupation of the shelter by agropastoralists. Rock art evidence shows distinct phases, the latter of which may point to religious practices involving rain-serpents and rainmaking possibly performed, in part, for an African farmer audience. This brings into focus a central aim of theMARAprogramme: to research the archaeology of contact between hunter-gatherer and agropastoralist groups.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.005 | 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".