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Record W4416839608 · doi:10.1017/s0212610925100633

Migration networks in the configuration of mining communities in Spain in the nineteenth century: Linares

2025· article· en· W4416839608 on OpenAlexaboutno aff
Andrés Sánchez Picón, Víctor A. Luque de Haro, Mari Carmen Pérez Artés, María José Mora Mayoral

Bibliographic record

VenueRevista de Historia Económica / Journal of Iberian and Latin American Economic History · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical and socio-economic studies of Spain and related regions
Canadian institutionsnot available
FundersEuropean Regional Development FundUniversidad de AlmeríaJunta de AndalucíaUniversidad de MurciaEuropean CommissionUniversidad de ZaragozaMinisterio de Ciencia, Innovación y Universidades
KeywordsIndustrialisationPopulationInternal migrationDistribution (mathematics)Quarter (Canadian coin)Net migration rateCapital (architecture)Human migration

Abstract

fetched live from OpenAlex

Abstract This research examines migration in Linares during the third quarter of the nineteenth century, focusing on migration chains. The city experienced a significant increase in population due to the mining boom, which led to an almost sixfold increase in the population over a period of 30 years. Using data from the 1873 population register, which includes more than 22,500 individuals, this study confirms the effectiveness of the migration chain framework in analyzing internal migration during the preindustrial and early industrialization periods. This approach has revealed the significant influence of this form of social capital in determining migratory flows to Linares, highlighting the importance of places of origin in the spatial distribution of the city and in the occupational specialization of the migrant population. The findings suggest that migratory chains played a key role in providing information about opportunities at the destination, as well as in reducing the costs associated with the search for employment and housing.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.860
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.016
GPT teacher head0.211
Teacher spread0.194 · 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.

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueRevista de Historia Económica / Journal of Iberian and Latin American Economic HistorySame topicHistorical and socio-economic studies of Spain and related regionsFrench-language works237,207