Zulu pottery technology and group identity in the Phongolo Basin, South Africa
Bibliographic record
Abstract
Archaeologists in southern Africa have long relied upon the variation in decorated pottery vessels to delimit material cultural boundaries and to infer group identity and chronological relationships. Historically, however, not all people in the region commonly decorated pottery in the precolonial era. Until the early twentieth century Nguni-speaking people rarely decorated pottery. Consequently, conventional stylistic analyses are of little help for identifying precolonial Nguni social groups and inferring social interactions. A potential solution to this problem is provided by a growing body of literature on ceramic ethnoarchaeology, which demonstrates that the manufacture of pottery, as opposed to its final appearance, provides a sensitive indicator of social identities. In this paper, I investigate whether the style and manufacturing practices distinguish two present-day communities of Zulu potters living in the Phongolo Basin in northern KwaZulu-Natal, South Africa. The results of this study show that pottery style and technology are substantially different between communities of potters in the Ntshengase and Mathenjwa Traditional Authorities. More importantly, each community shares different degrees of technical know-how with each other and with neighbouring Nguni- and non-Nguni-speaking groups. Such variation in technical style corresponds to the different social interactions and dynamics experienced by Zulu communities along the Phongolo River that are known from oral history.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".