Processing cathodoluminescence imagery in ancient material analysis
Bibliographic record
Abstract
Cathodoluminescence (CL) is quite a well-known phenomenon which can find applications in the study of cultural heritage materials such as ceramic, glass, stone... The classical approach when investigating the nature of these ancient materials is mainly to use petrographic microscopy, X ray diffraction and scanning electron microscopy with energy dispersive X ray spectrometry. To these methods is added the cathodoluminescence imagery which today appears as compulsory, notably for any ceramic study when provenance and making processes are searched for. Applications to ceramic series from Peru (Mochica period) and from Syria (chalcolithic and first millennium BC period) are here shown. Some more exotic materials like marine shells from the antique port of Delos are presented; they will be used to produce radiocarbon dates only if we can demonstrate their structure is homogeneous. Another specific case concerns the chemical nature and the making of glass pearls from Quebec (17th c. AD) which were used as exchange money against furs. This is a methodological aspect which is here enhanced as it is the whole investigation process which is renewed. In each case, the CL imagery proves essential to bring data that the human eye could hardly detect or that would be completely overlooked with the afore-mentioned methods.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 teacher head, 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".