A combined visual-geochemical approach to establishing provenance for pegmatite quartz artifacts and application within the Churchill River basin of Manitoba and Saskatchewan
Bibliographic record
Abstract
This dissertation aims to provide insight into the relationships between environmental factors and the organization of quartz technology in northern Manitoba by evaluating the contribution of large pegmatite quarries to quartz economies around Granville and Southern Indian Lakes. Secondary ion mass spectrometry (SIMS) quantification of trace element (Ti, Ge, U, Th) concentrations and Pb isotope ratios was used to characterize large sources of pegmatite quartz exploited by toolmakers in the Granville Lake and Lac La Ronge regions of northern Manitoba and Saskatchewan, respectively. The same technique was applied to a sample of formal quartz tools from the Churchill River Diversion Archaeological Project (CRDAP) study area in northern Manitoba. Quarry and artifact results were compared. The results of this analysis indicate: 1) characterized pegmatite quartz sources in the Granville Lake district likely played a significant role in quartz economies in the Churchill River basin of northern Manitoba, 2) toolmakers in the study area had large lithic procurement ranges, and 3) lithic resource stress contributed to the selection of technological strategies in the Churchill River basin.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".