Distinguishing bioturbation and trampling using pottery sherd measures, Tell Fendi, Jordan
Bibliographic record
Abstract
In the Levant, the blind mole-rat (Spalax ehrenbergi) is responsible for much disturbance at archaeological sites, but its potential destructiveness is often ignored when cultural remains are interpreted. The effects of mole-rat burrowing on artifact distributions were evaluated through a study of mole-hill contents and by doing a vertical particle-size analysis of ceramic materials drawn from Tell Fendi, a Late Chalcolithic (6600–5500 B.P.) site in the Jordan Valley. While the general effects of animal burrowing are predictable to some degree, stratigraphic units affected by burrowing may not be immediately obvious to the archaeologist. The problem of identification is compounded because other disturbance processes produce similar effects. This study proposes a method for identifying bioturbation layers and for distinguishing these layers from both trampled surfaces and in situ contexts by means of pottery sherd measures. © 2000 John Wiley & Sons, Inc.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".