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Record W7112336245

El uso de la sierra metálica en contextos históricos urbanos. Análisis del sondeo I, en el distrito Pedro Molina, Guaymallén, Mendoza

2009· article· es· W7112336245 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires) · 2009
Typearticle
Languagees
FieldSocial Sciences
TopicMigration, Education, Indigenous Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)UrbanizationQuarter (Canadian coin)Colonial periodSequence (biology)Distribution (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The bone analysis allowed to contrast favorably the use of the saw in an archaeological context around in Mendoza City wich functioned during the last quarter of the nineteenth century and the early twentieth century. The marks are mostly found to the Bos taurus species, in a typical discarding garbage urban context of this time. with a few species and represented mostly domestic animals introduced from Europe. The use of mechanical saw represents a major change in the final stretch of cattle managing, facilitating their subsequent distribution through the market. The sequence of deposition shows their use for a bounded period of time. The place digged is representative of the urban boundary –in late colonial and independent times- and the transition to the process of increasing urbanization occurred in the twentieth century, which was occupying an area of old farms.

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)0.001
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 score0.189
Threshold uncertainty score0.376

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.293
Teacher spread0.287 · 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
Published2009
Admission routes1
Has abstractyes

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