An XRF Compositional Analysis of Opaque White Glass Beads from 17th-Century Mission Santa Catalina de Guale, Georgia
Bibliographic record
Abstract
Previous analyses of the elemental composition of white glass beads have shown that the opacifier used during glass manufacture is temporally diagnostic, with a transition from tin to antimony to arsenic to fluorine. To date, most researchers using this fact for chronological purposes have focused on British, Dutch, and French contact sites in the northeastern United States and Canada. Many of these studies have relied on expensive, and sometimes minimally destructive, techniques. X-ray fluorescence spectrometry is a widely available, non-destructive technique that can be used to identify glass opacifiers extremely rapidly and inexpensively. This technique was used to analyze 783 specimens of four varieties of drawn white glass beads from burial contexts at Mission Santa Catalina de Guale, Georgia, demonstrating that the “opacifer-dating” method is also applicable to Spanish colonial sites in the southeastern United States.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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; both teacher heads agree on what is shown here.
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".