POLLEN, STARCH, PHYTOLITH, PROTEIN RESIDUE, AND ORGANIC RESIDUE (FTIR) ANALYSIS OF ARTIFACTS FROM SITES HhOu 70, HhOu 94, HhOu 95, HhOv 378, HhOv 380, HhOv 381, HhOv 384, HhOv 385, HhOv 387, HhOv 431, AND HhOv 432, NORTHEASTERN ALBERTA, CANADA
Bibliographic record
Abstract
A total of 37 stone artifacts from sites HhOu 70, HhOu 94, HhOu 95, HhOv 378, HhOv 380, HhOv 381, HhOv 384, HhOv 385, HhOv 387, HhOv 431, and HhOv 432 of the FMA 145503S MI07 Project located in northeastern Alberta, Canada, were submitted for analysis. These artifacts were subjected to pollen, starch, phytolith, protein residue, and organic residue (FTIR) analysis, depending on their likely function. The goal of this study is to better understand possible plant and animal remains that may have been processed using these tools.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".