Distinguishing pits from pit houses through daub analysis, the nature and location of early neolithic star cevo-cris houses at foeni-salas, romania
Bibliographic record
Abstract
A contentious issue in Central Balkan prehistory has been the nature and location of Early Neolithic domestic structures. Some researchers have argued for the existence of surface structures, while others have proposed pit houses. The problem to be addressed in this thesis is to determine the nature and location of Early Neolithic houses from archaeological sites in the Central Balkans through daub analysis. I will present a model for determining the nature and location of these houses based on the classification of construction daub from the Early Neolithic Starcevo-Cris site of Foeni-Salas in southwestern Romania. This analysis will be used to demonstrate that Early Neolithic houses at Foeni-Salas were semi-subterranean in nature and distributed in a semi-circle around a larger pit house and a central open space. These types of analyses are the first steps towards a more systematic investigation of Early Neolithic community patterning in the Central Balkans.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".