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Record W7063128456

Zooarchaeology of the Third millennium BCE: the smelting quarter of Valencina de la Concepción (Seville).

2010· article· es· W7063128456 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Institucional de la Universidad de Huelva · 2010
Typearticle
Languagees
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ZooarchaeologyPrehistory
DOInot available

Abstract

fetched live from OpenAlex

Presentamos el estudio zooarqueológico del conjunto faunístico registrado en el barrio metalúrgico de Valencina de la Concepción (Sevilla), centro político de la red de jerarquización (relaciones centro/periferia) del Valle del Guadalquivir durante el III Milenio A.N.E. Fue analizado con el objetivo de conocer la dieta, la explotación animal y las relaciones sociales, a través de la identificación y clasificación taxonómica, el cálculo de la abundancia relativa y la división ósea por regiones anatómicas. Además, se reconocieron los diversos fenómenos que interaccionaron y afectaron al conjunto óseo (procesos tafonómicos). El compendio de los análisis realizados reflejó un modelo de conducta caracterizado por una explotación de especies domésticas sacrificadas en edad adulta, una presencia elevada de huesos con utilidad alimenticia gracias a la representaci ón de partes esqueléticas (%MAU, valores observados/esperados y test de chi-cuadrado o X2), un patrón de fragmentación debido a procesos posdeposicionales y una amalgama de alteraciones sobre las superficies óseas que reflejan la acción tanto humana y animal como de los agentes abióticos en el registro faunístico.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.898

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.004
GPT teacher head0.254
Teacher spread0.250 · 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 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
Published2010
Admission routes1
Has abstractyes

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