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Record W2248074482

APLICAN TÉCNICAS NUCLEARES PARA ANALIZAR LA CERÁMICA ZAPOTECA

2001· article· es· W2248074482 on OpenAlexaboutno aff
Guadalupe Lugo, Luz Lazos Ramírez

Bibliographic record

VenueGaceta UNAM (2000-2009) · 2001
Typearticle
Languagees
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtGeography
DOInot available

Abstract

fetched live from OpenAlex

EL INSTITUTO DE INVESTIGACIONES ANTROPOLOGICAS, EN COLABORACION CON OTRAS INSTITUCIONES DE EDUCACION DEL PAIS, UNIVERSIDAD DE LAS AMERICAS, DE PUEBLA; ESTADOS UNIDOS, PENNSYLVANIA STATE UNIVERSITY Y CANAD , ROYAL MUSEUM, APLICA NOVEDOSAS TECNICAS NUCLEARES (PIXE), DIFRACCION DE RAYOS X, TERMOLUMINISCENCIA Y AN LISIS ARQUEOLOGICOS, PARA DETERMINAR LA PROCEDENCIA PREHISP NICA LOCALIZADA EN LA SIERRA DE JU REZ, EN OAXACA. EN ESTE PROYECTO, EN EL CUAL SE TRABAJA PARA DETERMINAR LA AUTENTICIDAD DE COLECCIONES DE URNAS ZAPOTECAS, PARTICIPAN, ADEM S DE LOS INVESTIGADORES DE ESTA CASA DE ESTUDIOS DEL INSTITUTO DE FISICA, ASI COMO DE LAS FACULTADES DE FILOSOFIA Y LETRAS, QUIMICA Y DE CIENCIAS, ESPECIALISTAS DE LOS MUSEOS REAL DE ONTARIO Y GADINER, DE CANAD . LUZ LAZOS RAMIREZ, DE ANTROPOLOGICAS, EXPLICO QUE LAS METODOLOGIAS QUE SE APLICAN EN ESTA INVESTIGACION, EN PARTICULAR LOS PROCEDIMIENTOS NUCLEARES, MEDIANTE EL ACELERADOR DE PARTICULAS PELLETRON DEL INSTITUTO DE FISICA, NO SOLO SE EMPLEAN PARA EL AN LISIS DE CER MICA PREHISP NICA, SINO TAMBIEN EN HUESOS, METAL, PINTURA DE CABALLETE Y PAPEL. DESTACO QUE EL ACELERADOR DE PARTICULAS PELLETRON, INSTRUMENTO QUE SOLO EXISTE EN LA UNAM, PERMITE LA REDUCCION DE MUESTRAS NECESARIAS PARA ESTE ESTUDIO, ADEM S DE BAJAR LOS COSTOS DEL PROCEDIMIENTO. ESTA TECNICA ES BASTANTE ACCESIBLE Y BRINDA CALIDAD Y RAPIDEZ EN LA INFORMACION, ASPECTOS QUE LA CONVIERTEN EN UNA TECNICA IDONEA PARA ESTE TIPO DE AN LISIS, SOBRE TODO CUANDO SE HABLA DE PIEZAS CON VALOR ARTISTICO.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.003

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.

Opus teacher head0.038
GPT teacher head0.255
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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