MétaCan
Menu
Back to cohort
Record W7008483136

Chapter Social mobility, economic growth and inequality in the late medieval Crown of Aragon (Aragón, Catalonia, Valencia and Mallorca, 13th-15th centuries)

2025· other· en· W7008483136 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicMedieval and Early Modern Iberia
Canadian institutionsnot available
FundersAgencia Estatal de InvestigaciónGobierno de AragónEuropean Regional Development FundGeneralitat ValencianaGeneralitat de CatalunyaEuropean CommissionUniversitat de ValènciaUniversidad de ZaragozaEgg Farmers of Canada
KeywordsInequalityPoliticsCrown (dentistry)Social inequalitySection (typography)Social mobilityColonisation
DOInot available

Abstract

fetched live from OpenAlex

This paper examines social and economic mobility in the Crown of Aragon in the long term. It is divided into three main sections. The first deals with the processes of social mobility linked to both the colonisation of territories taken from the Muslims in the 12th and 13th centuries and the impact of the Black Death and other calamities in the second half of the 14th century. The second section addres¬ses both the shorter-range migrations, especially from the countryside to the city, and the dynamics of social mobility in rural world and urban society. Although related to the latter, we wanted to highlight, as a separate section, the case of the converts from Judaism, as an original and important phenomenon both quantitatively and qualitatively, and for both its success and failure, in the Crown of Aragon and the other Iberian states. Finally, the third section is devoted to some questions of approach and methodology, in particular political (from the lists of families who held public offices in certain cities) and economic (from tax records or wealth registers) ones.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
Teacher disagreement score0.798
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.025
GPT teacher head0.235
Teacher spread0.210 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicMedieval and Early Modern IberiaFrench-language works237,207