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Record W4288535611 · doi:10.3989/aem.2022.52.1.06

Reutilizar y reciclar. Prácticas cotidianas y modelos de negocio en el Aragón bajomedieval

2022· article· es· W4288535611 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnuario de Estudios Medievales · 2022
Typearticle
Languagees
FieldArts and Humanities
TopicMedieval and Early Modern Iberia
Canadian institutionsnot available
FundersUniversidad de ZaragozaMinisterio de Economía y CompetitividadEgg Farmers of CanadaSyracuse University
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La conocida como regla de las tres erres es una práctica extendida en la actualidad para tomar conciencia de que los recursos con los que contamos son escasos. Sin embargo, en la Edad Media estos parámetros formaron parte de la cotidianeidad, ya que el objetivo principal fue, por un lado, alargar el ciclo de vida de los bienes de consumo mediante reparaciones y remodelaciones y, por el otro, reutilizar y reciclar materias y subproductos generados en determinadas actividades industriales y agroganaderas. En esta contribución trataremos de incidir en la capacidad de la sociedad medieval para analizar el entorno con un criterio de circularidad y para desarrollar modelos de negocioque se basaron en la reutilización de bienes como el mercado de objetos de segunda mano, otra actividad secular que ha experimentado un boom en la actualidad al calor de la nueva ética social y medioambiental.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.031
GPT teacher head0.281
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