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Record W3157656350 · doi:10.3989/chdj.2021.005

Atomic Routes and Cultures for a New Narrative on Franco’s Regime

2021· article· en· W3157656350 on OpenAlexaboutno aff
Ana Romero de Pablos

Bibliographic record

VenueCulture & History Digital Journal · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicTwentieth Century Scientific Developments
Canadian institutionsnot available
FundersMinisterio de Ciencia e Innovación
KeywordsDictatorshipPoliticsNarrativeAtomic energyState (computer science)Energy (signal processing)BusinessPolitical scienceEconomySociologyEconomicsComputer scienceLawPhysicsSocial scienceDemocracy

Abstract

fetched live from OpenAlex

A decision by two Spanish companies to start producing nuclear-based electrical energy was the beginning of a journey that led two Spanish engineers to the United States and Canada in 1957. They wanted to learn about the reactor technology that North American companies were developing, contact specialized consultants to explore possible consultancy services, and search out political, economic, and financial support to make their project viable. The trip’s travel log suggests that the route they set off on was decisive in convincing the dictatorship’s political, industrial, and economic powers of the importance of nuclear energy; this journey had a direct influence on subsequent construction of Spanish nuclear facilities and on the policies designed to manage it. In this article I suggest exploring this journey and its record to reflect on how nuclear energy participated in building a new narrative on the Franco regime, one that showed Spain as a modern, internationally-connected State capable of incorporating the latest atomic technologies.

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)0.002
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: none
Teacher disagreement score0.083
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.017
Scholarly communication0.0090.004
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.224
Teacher spread0.198 · 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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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