MétaCan
Menu
Back to cohort
Record W3175868631

Análisis bio-estratigráfico y microfacial de la formación Zuloaga en la Cañada Alardín, General Zaragoza, Nuevo León, México

2007· dissertation· es· W3175868631 on OpenAlexaboutno aff
Rivera Estrada, Consuelo Araceli

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldEarth and Planetary Sciences
TopicGeological and Tectonic Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyCaveFaciesHumanitiesGeologyArtGeographyGeomorphologyStructural basin
DOInot available

Abstract

fetched live from OpenAlex

Entre 1994 y 2003 se localizaron en un paraje del Rio Blanco, llamado Canada Alardin, municipio de General Zaragoza, Nuevo Leon, Mexico, ochenta sitios arqueologicos consistentes en concentraciones liticas, cuevas y abrigos rocosos, habitacionales y/o con manifestaciones grafico rupestres, emplazados en la Formacion Zuloaga. En base a ello se lleva a cabo en el area, una investigacion Geo-Arqueologica con el proposito de establecer la secuencia estratigrafica, basada en microfosiles caracteristicos de la Formacion (Fm.) Zuloaga. Se realizaron analisis de estratificacion y de secciones delgadas para identificar las facies y microfacies, para explicar los ambientes de sedimentacion. Abstract Between 1994 and 2003, there were located on a place of the Blanco River, the “Canada Alardin” in General Zaragoza County, Nuevo Leon, Mexico, eighty archaeological sites. These show lithic concentrations, caves, rockshelters, related to habitational use, and ancient graphic manifestations. All of these facts were found in the Zuloaga Formation (Fm.). Based on this data, a Geo-Archaeological investigation was carried out with the purpose of establishing the stratigraphic secuence of the area, distinguishing microfacies and the characteristic micro-fossils association, based on thin sections analysis from the Zuloaga Fm., in order to explaining the depositional environment.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.000

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.

Opus teacher head0.008
GPT teacher head0.279
Teacher spread0.272 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicGeological and Tectonic Studies in Latin AmericaFrench-language works237,207