Tool stones from the Punchaw Lake Village site (FiRs-1), Nechako Plateau, British Columbia, Canada.
Bibliographic record
Abstract
Progress in petrography and chemical characterization of igneous lithic material and artifacts have been used to infer culture history, land use patterns, and potential exchange networks across British Columbia in recent years. This thesis examines the petrographic and geochemical characteristics of igneous flake samples collected from the Punchaw Lake Village site (FiRs-1), located west of Quesnel, British Columbia. The flakes are primarily composed of trachydacite and dacite of one or more unknown provenances. The primary objective of this study was to determine the possible sources of these igneous materials used in the production of the artifact assemblage. Three analytical techniques were employed to determine the physical composition of the specimens: (1) petrographic descriptions of the macroscopic and microscopic characteristics (2) whole sample chemistry (major elements by inductively coupled plasma emission spectrometry (ICP-ES] and (3) trace and rare earth elements by inductively coupled plasma mass spectrometry [ICP-MS]. The geochemical data were subjected to multidimensional scaling and hierarchical cluster analysis to aid the interpretations of the results. Results indicate that the lithic sample from Punchaw Lake Village site originates from more than one rock type, suggesting that the site inhabitants may have engaged in exchange and/or movement throughout the Nechako Plateau. --P. ii.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".