The origin of smectite in the soil of the Kruger 2 archaeological site, Brompton (Québec), Canada
Bibliographic record
Abstract
Abstract Kruger 2 is unique among Late Paleoindian sites of eastern Canada because of the presence of a potential hearth (feature #1) characterized by a concentration of blackened fire‐cracked rock and burnt bone embedded in a thick Ae horizon. Comparative mineralogical analysis (X‐ray diffraction) of Ae samples collected inside and outside the feature reveal the absence of calcite and apatite, two minerals commonly found in ashes, and the presence of smectite in the Ae inside feature #1. Smectite genesis is attributed to the weathering of mica and chlorite under geochemical conditions (high base cations, Si and pH; low Al) that are unique in time and space. We hypothesize that these conditions were created by the dissolution, 10,000 years ago, of a layer of hearth ashes resting on an incipient soil. Results confirm the intense weathering of mica and chlorite. We also show that ash dissolution could generate the conditions for smectite formation in the presence of altered mica and chlorite, allowing the development of a chronology explaining this finding. The data largely support our hypothesis and constitute a strong basis for future investigations on the links between hearth ash weathering and smectite genesis in acidic soils.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".