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Record W2571866348

The biological standard of living in nineteenth-century industrial Catalonia: a case study

2016· article· en· W2571866348 on OpenAlexaboutno aff
Ramón Ramón-Muñoz, Josep-María Ramon-Muñoz

Bibliographic record

VenueRevistes Científiques de la University of Barcelona (University of Barcelona) · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
FundersMinisterio de Economía y Competitividad
KeywordsIndustrialisationStandard of livingQuarter (Canadian coin)Factory (object-oriented programming)PessimismInequalityPeriod (music)Economic historyHistoryGeographyEconomyEconomicsPolitical scienceArchaeologyArtLaw
DOInot available

Abstract

fetched live from OpenAlex

Drawing on anthropometric information, this article investigates the evolution of the biological standard of living in nineteenth-century Catalonia. We focus on the city of Igualada, one of Catalonia's main textile centres in the early part of the century. The results show a decline in the height of males born between the 1830s and the 1860s, the period in which factory- based industrialisation emerged and became consolidated. The article also suggests that height inequality rose during the third quarter of the nineteenth century. The empirical evidence gathered provides further support for the pessimistic view of the evolution of the standard of living during the early stages of industrialisation.

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)0.001
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 score0.234
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.207
Teacher spread0.174 · 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

Citations14
Published2016
Admission routes1
Has abstractyes

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