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Record W7117771562 · doi:10.52152/d11595

THE BIRTH OF A CENTENARY PUBLICATION: DYNA

2025· article· W7117771562 on OpenAlexaboutno aff
Ignacio Fernandez de Aguirre Guantes

Bibliographic record

VenueDYNA · 2025
Typearticle
Language
FieldArts and Humanities
TopicTwentieth Century Scientific Developments
Canadian institutionsnot available
Fundersnot available
KeywordsDictatorshipQuarter (Canadian coin)PoliticsFirst world warIndustrial Revolution

Abstract

fetched live from OpenAlex

At the end of the first quarter of the 20th century, despite the unstable political situation – a dictatorship supported by the Crown –, conflicts abroad – war in Africa – and general technological backwardness, the three Schools of Industrial Engineering had already firmly established themselves in Spain: Madrid, Barcelona, and Bilbao. These corresponded to geographical locations where, at the same time, industrial areas of a certain level were beginning to be created, although each one supported different activities. The first of these was the industrial area of Barcelona, which was the first to be created and the most important in terms of industrial activity.

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)0.002
metaresearch head score (Gemma)0.006
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: Editorial · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0060.006
Scholarly communication0.0180.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0270.011

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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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
GenreEditorial

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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