IDENTIFICACIÓN DE UNA TÉCNICA DE ELABORACIÓN DE BOTELLAS MOCHE DE ASA ESTRIBO EN EL CASTILLO DE SANTA, COSTA NORTE DE PERÚ
Bibliographic record
Abstract
de asa estribo identificada en El Castillo de Santa, un asentamiento de la segunda mitad del Período Intermedio Temprano (300-600 DC) ubicado en Ancash, costa norte de Perú.El análisis de la cerámica Moche III recuperada en ese sitio por el Proyecto Santa de la Universidad de Montreal permitió al autor identificar una técnica de manufactura de botellas distinta a la hasta ahora conocida para la sociedad Moche.Los resultados de este trabajo muestran la existencia de distintos métodos y cadenas operativas en la fabricación de las botellas de asa estribo, contribuyendo al reconocimiento de la diversidad regional y temporal existente al interior de las tecnologías de producción de la cerámica Moche.Palabras clave: valle de Santa, Moche III, producción artesanal, botellas de asa estribo This report describes a previously unknown technique for constructing Moche stirrup spout bottles discovered at El Castillo de Santa, a Moche settlement that flourished in the second half of the Early Intermediate Period (300-600 AD) on the northern coast of Peru.The site has been studied in recent years by the Santa Valley Project of the Université de Montréal.The author presents the specific steps involved in the technique and distinguishes it from other methods for making stirrup spouts known to date.This study demonstrates that multiple methods existed for producing Moche bottles and contributes to our understanding of diachronic and synchronic diversity in Moche ceramic technologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".