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Record W2310012663 · doi:10.3989/arq.arqt.2015.122

Aplicaciones de sintaxis espacial en Arqueología: una revisión de algunas tendencias actuales

2015· article· es· W2310012663 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArqueología de la Arquitectura · 2015
Typearticle
Languagees
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsYork University
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Este trabajo realiza un recorrido por algunas de las principales tendencias teóricas y metodológicas sobre la aplicación de técnicas de análisis sintáctico-espacial para el estudio de edificios y asentamientos arqueológicos. Hemos divido nuestra exposición en una serie de claves temáticas que sirven para agrupar los trabajos y autores comentados. Nuestro análisis nos permite obtener, por primera vez, una síntesis comprensiva sobre la orientación actual de este tipo de aplicaciones en el ámbito de la Arqueología actual. Para concluir nuestro trabajo planteamos una serie de propuestas de futuro que creemos que contribuirán a asentar este tipo de aplicaciones arqueológicas como un elemento destacado en los debates en torno a la ciudad como uno de los problemas fundamentales del ser humano en el siglo XXI.

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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.263
Teacher spread0.254 · 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