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Record W2266826949 · doi:10.19130/iifl.ecm.1982.14.550

Lamanai, Belice, durante el Posclásico

2013· article· es· W2266826949 on OpenAlexaboutno aff
David M. Pendergast

Bibliographic record

VenueEstudios de Cultura Maya · 2013
Typearticle
Languagees
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyPolitical scienceArt

Abstract

fetched live from OpenAlex

Desde su inicio en 1974, el proyecto de excavaciones del Museo Real de Ontario en el sitio de Lamanai, situado en el norte de Bel ice (Fig. 1), se ha centrado en las investigaciones de todas las fases de la ocupación, pero con especial énfasis en el periodo que, potencialmente, es el más significativo: el Post-clásico. A la fecha se han llevado a cabo siete temporadas de excavaciones, y quedan pendientes por lo menos dos mas, seguidas por un ano de análisis y otros trabajos finales, que será, a la vez, la primera temporada de un programa de conservación y consolidación de las estructuras excavadas. Aunque intentamos seguir con las investigaciones de la ocupación Post-ch1sica durante los años que vienen, estamos en posibilidades de poder presentar un panorama general de las características principales de la vida en Lamanai, desde el Siglo x basta el Siglo XVII, etapa final de una ocupación que ahora parece haberse extendido por mas de dos mil años.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.225
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2013
Admission routes1
Has abstractyes

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