Metodología adaptada para el estudio de materiales cerámicos procedentes de la excavación del sondeo 1 de la casa de la Cañada Honda en Itálica (Sevilla)
Bibliographic record
Abstract
espanolAntes de llevar a cabo todo estudio de material procedente de una excavacion arqueologica es necesario elaborar y tener clara una metodologia adecuada para sacar el mayor partido posible a los materiales y para cumplir con todos los objetivos propuestos. Aqui presentamos las distintas fases metodologicas aplicadas al caso practico del Sondeo 1 del Corte 1 de la Casa de la Canada Honda en Italica (Santiponce, Sevilla) que hemos llevado a cabo en el Seminario de Arqueologia de la Universidad Pablo de Olavide. EnglishBefore carrying out any study of material from an archaeological excavation, it is necessary to develop an appropriate method to get the most out of the materials and to reach all the objectives. We present the different methodologies applied to the practical case of Survey 1 of Court 1 of the Casa de la Canada Honda in Italica (Santiponce, Seville) that we have carried out at the Seminario de Arqueologia of the Universidad Pablo de Olavide.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".