ARCTIC Prehistoric Sources of Chert in Northern Labrador: Field Work and Preliminary Analyses
Bibliographic record
Abstract
ABSTRACT. The Torngat Archaeology Project is involved in a raw materials program that includes the “finger-printing ” of certain lithics used by prehistoric cultures in Labra-dor, and the identification of their geological sources. Field work was carried out in 1978 in the Ramah and Mugford areas to sample chert outcrops and search for evidence of prehistoric quarrying and manufacturing activities. Numerous quarries and workshops were discovered id the Ramah Group, and a suite of Ramah and Cod Island chert samples was collected for analyses. Thin sections of four visually similar rock types from Labrador- Ramah chert, Cod Island chert, Saglek quartzite, and Ryan’s quartz- were examined and samples of each were submitted for trace element analysis by neutron activation. Given the high purity of the cherts and the small number of samples used in the preliminary activation analysis, confident identification of and strong discrimination between the four, based on trace element concentrations, were not possible. However, thin section examination enabled identifications and differentiations to be made based on the petrographic features of each of the lithics.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 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) | 0.001 | 0.001 |
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".