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Niveles y patrones de violencia durante la transición al Horizonte Medio en la Costa Central

2014· article· es· W2530025912 on OpenAlexaff
María del Carmen Vega

Bibliographic record

VenueBoletín de Arqueología PUCP · 2014
Typearticle
Languagees
FieldSocial Sciences
TopicMigration, Education, Indigenous Social Dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsHumanitiesGeographyPolitical scienceArt

Abstract

fetched live from OpenAlex

El presente artículo examina las prevalencias y patrones de los traumatismos de probable origen intencional presentes en 256 individuos Lima Tardío (Huaca 20 y Copacabana), comparando los resultados con los de 45 individuos Lima Medio (Cerro Culebra) y 30 individuos del Horizonte Medio 2 a 4 (Miramar), buscando dilucidar si los cambios políticos y sociales experimentados durante la transición al Horizonte Medio pudieron haber ocasionado un alza en los episodios de violencia vividos por las poblaciones locales.Los resultados de esta investigación indican que al parecer la introducción wari en la Costa Central signicó una disminución de los episodios de violencia no letal, especialmente para las mujeres, con ocasionales episodios de enfrentamientos más violentos que conllevaron a la muerte. Esta situación parece haberse mantenido una vez consolidada la presencia (o inuencia) imperial. Asimismo, se observó que los niveles y patrones de violencia durante la transición y consolidación wari en la Costa Central fueron distintos que los experimentados en la costa y sierra sur, deduciéndose a partir de esto que la presencia wari en las zonas periféricas no siempre desencadenó las mismas consecuencias sociales, obedeciendo posiblemente a las distintas estrategias políticas de expansión por parte de dicho estado.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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)0.0000.000

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 head0.004
GPT teacher head0.263
Teacher spread0.259 · 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
Published2014
Admission routes1
Has abstractyes

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