Muge Mesolithic samples analyzed in Canada, including previously unpublished stable isotope data
Bibliographic record
Abstract
seems to have been erroneous (Jackes et al. 2014). A sample from Arruda 6 (Porto) was redated and the new date was found to have an improved fit with the known range of Muge Mesolithic individuals. We also wanted to understand whether the difference in the δ13C value was of any significance. Because the question arose as to whether our Muge δ13C values were from IRMS (isotope-ratio mass spectrometry) or were the ion exchange values associated with the AMS dating process, we asked Beta Analytic: “Would it be true that the δ13C values we have for the Beta dates of this period are the AMS measurements? ” (MJ in litt. 7 December 2014). Chris Patrick, Deputy Director/Technical Manager Beta Analytic, Inc. replied (in litt. 8 December 2014): This sample was done as a radiometric sample (using liquid scintillation) done on bone collagen that has been treated with alkali also. The δ13C value of-19 was an assumed value for typical bone. It was NOT measured directly on the sample. At this time not all of our samples were having the δ13C measured directly- the submitter had to opt to pay for it. The sample had been processed in 1999. Reference to the data (Umbelino 2007: 82, Table 4) suggests that varying δ13C values were in fact given for three Muge bones, from Amoreira 7,
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".