Arqueología sefardí en Castilla y León: intervención en el yacimiento de "La Mota", en Castrillo Mota de Judíos (Burgos)
Bibliographic record
Abstract
The archaeological excavation in the site of “La Mota” is part of an ambitious\nproject to recover and enhance the Sephardic legacy in Castrillo Mota de Judíos\n(Castrillo Matajudíos before 2015). The documentary study carried out in the first phase of development of this project allowed to establish a very precise historical\nsequence for this site, from its origin in 1035 from the displacement of the\nJewish quarter of Castrojeriz to this place, until its disappearance in the year 1311\nwhen the community was allowed to return to the place from which they were expelled.\nIn this period of time the origin of the present town, located 300m north\nfrom “La Mota”, takes place, where the converts were installed continuing, under\na new religious faith, with the initial Jewish community. Consequently, “La\nMota” is a good opportunity to know, applying the archaeological methodology,\nex novo occupation dynamics that take place in this space and the transformations\nthat occur in the site as a consequence of historical circumstances whose story we\nknow quite accurately. The opportunity to contrast and complement both archaeological\nand documental records, will allow to elaborate a historical account\nwhich is very close to the social and material reality of a Sephardic community in\nthis area of the Kingdom of Castile.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".