RADIOCARBON DATING OF TECHNOLOGICAL TRANSITIONS: THE LATE HOLOCENE SHIFT FROM ATLATL TO BOW IN NORTHWESTERN SUBARCTIC CANADA – ERRATUM
Bibliographic record
Abstract
The author affiliations appearing in Grund and Huzurbazar (2017) contain errors. The correct affiliations for the authors are as follows: Brigid Sky Grund ▪ Anthropology Department, University of Wyoming, Department 3431, 1000 E. University Avenue, Laramie, Wyoming 82071-2001. Snehalata V. Huzurbazar ▪ Department of Biostatistics, West Virginia University, P.O. Box 9190, One Medical Center Drive, Morgantown WV 26506, USA. Additionally, the sentence on page 5 reading, “Catastrophic melting events create palimpsest the upper layers of ice (Meulendyk et al. 2012), potentially introducing taphonomic bias” inadvertently omitted two words. The correct sentence is “Catastrophic melting events create a palimpsest in the upper layers of ice, potentially introducing taphonomic bias.” The publisher apologizes for these errors.
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 | 0.002 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".