Fingerprinting of quartzitic outcrops at Oldupai Gorge, Tanzania
Bibliographic record
Abstract
The African Early Stone Age record, including that of Oldupai Gorge, reveals widespread evidence for hominin exploitation of quartzose lithic raw materials such as quartzite. However, few studies have sought to characterize these rock types grounded on the assumption that they are not amenable for provenance studies. Through the use of macroscopic, petrographic, and EDXRF analysis, we characterize source material from five quartzitic outcrops belonging to the Mozambique Belt adjacent to Oldupai Gorge. Our results show that certain macroscopic varieties strictly occur at some outcrops while petrographic analyses – which will be strengthened by a greater sample size – reveal that accessory minerals may be outcrop-specific. Statistical analyses of the geochemical data through linear correlations, Kruskal-Wallis tests, PCA, and DFA show that there are inter- and intra-outcrop differences, and elemental concentrations specific of certain outcrops. This multi-scalar approach provides a reproducible classificatory framework for additional characterization studies and archaeological testing at Oldupai to shed light on hominin palaeoenvironmental exploitation and palaeoecological behavior.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".