L'archéologie rupestre du Bouclier canadien : Potentiel archéométrique
Bibliographic record
Abstract
Different types of mineral deposits, principally silicas, oxalates and carbonates, have been observed at many rock art sites throughout the world. Such mineral deposits are often layered and can be dated because they contain a great variety of datable materials. Recent technological advances have expanded the analysis of such components related to rock art. This paper looks at several theoretical and technical notions that enable the dating of silica skin accretions associated with rock art in the Canadian Shield. The dating of these accretions gives the age of certain rock art sites because the rock may have been covered with layers of silica before and after the creation of paintings and engravings. Certain characteristics of silica films can thus reflect the temporal framework and also the climatic conditions present when they were formed. They are thus a source of geological, archaeological and paleoenvironmental information.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".