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Record W2939091723 · doi:10.5944/etfiii.32.2019.22865

Los caminos de la repoblación segoviana en la Transierra entre los siglos XIII y XV. El privilegio de las alberguerías de 1273

2019· article· es· W2939091723 on OpenAlexaff
Jesús Rodríguez Morales, David Agudo

Bibliographic record

VenueEspacio Tiempo y Forma Serie III Historia Medieval · 2019
Typearticle
Languagees
FieldArts and Humanities
TopicMedieval and Early Modern Iberia
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesFifteenthRepopulationArtGeography

Abstract

fetched live from OpenAlex

Los resultados de este estudio revelan la importancia de las ventas o alberguerías en la Repoblación segoviana al sur de la sierra de Guadarrama durante los siglos XIII-XV. La documentación archivística, que nos ha permitido identificar más de un 70 por ciento de estos establecimientos camineros, describe el trazado de varias vías antiguas de comunicación entre Segovia y sus extremos del Reino de Toledo. Las alberguerías segovianas se convertirían en un objetivo prioritario de la depredación señorial tardomedieval. Muchas ventas se vieron envueltas en disputas jurisdiccionales y fueron el origen de poblaciones modernas.AbstractThis study highlights the relevance of medieval inns (ventas or alberguerías) in the repopulation of Segovia’s southern plains beyond the Guadarrama mountain range, between the thirteenth and fifteenth centuries. Archival records have allowed us to identify 75 percent of these road hostels and describe several ancient routes between the city of Segovia and its southernmost limits in the kingdom of Toledo. Segovian inns would become a priority target for seigneurial abuse in the late Middle Ages. Most of these establishments were involved in jurisdictional disputes and were the origin of modern villages and towns.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.228
Teacher spread0.223 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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