Bibliographic record
Abstract
Ceramic pots which once were whole and in use by peoples many centuries ago have, in most instances \nalong the Eastern Cape coast of southern Africa, become fragmented and buried below consecutive \nlayers of sand, soil, vegetation, and leftovers of people’s lives. Yet, such potshards also pop up and \nbecome revealed as coverings move and peoples disturb resting places. Their omnipresence in parts \nof the archaeological landscape of this region has led several writers to record their presence and \nspeculate as to various significances during the past century. This article, with reference to some \nideas of ruination, takes a look at ceramic artifacts excavated at Zig-Zag and Umgazana caves in \nand near Port St Johns [with contextualization mainly from the likes of PW Laidler (1929), as well \nas from EC Chubb, G Burnam King and MA Mogg (1934); and from J Schofield’s researches in \nthe 1930s] as part of a process aimed at further establishing a setting for the visual arts milieu of \ncontemporary rural potter Alice Gqa Nongebeza, who works in that area.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".