Intervenciones arqueológicas en el yacimiento de Abauntz, Arraitz-Orkin, Valle de Ultzama, campañas de 2022 y 2023
Bibliographic record
Abstract
En este trabajo, presentamos las actividades llevadas a cabo durante las campañas de intervención arqueopaleontológica en la cueva de Abauntz, Arraitz-Orkin, Valle de la Ultzama, en los años 2022 y 2023. El objetivo principal del proyecto es caracterizar el tipo e intensidad de la ocupación del nivel h, adscrito al Paleolítico medio, así como los posibles niveles prehistóricos subyacentes, con el fin de obtener una comprensión más profunda del contexto y la naturaleza del poblamiento humano en esa región. Estas dos campañas se han dividido en dos fases: una primera fase dedicada al acondicionamiento del yacimiento, levantamiento de la planimetría, instalación de un sistema de evacuación del sedimento mediante una tirolina, vaciado del relleno del sondeo de la Sala 2 y continuación del sondeo de la Sala 1; y una segunda centrada en la excavación del nivel correspondiente con el Paleolítico medio de la Sala 2, la ampliación del sondeo hacia el sur y la continuación del sondeo de la Sala 1.
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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 | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".