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Record W4229581706 · doi:10.1353/his.2020.0016

Uchronic Lives, Emotion, and Temporality: The Radical Politics of the Basque Country, 1968–1982

2020· article· en· W4229581706 on OpenAlexvenueno aff
David Beorlegui Zarranz

Bibliographic record

VenueHistoire sociale · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsnot available
Fundersnot available
KeywordsTemporalityPoliticsEnthusiasmPolitical radicalismDemocracyNew LeftSociologyAestheticsPeriod (music)Political economyPolitical sciencePhilosophyLawPsychologyEpistemologySocial psychology

Abstract

fetched live from OpenAlex

The Spanish leftists who struggled against Franco's dictatorial regime in the late 1960s and 1970s were fuelled by their belief in a radically different and better future. Revolutionary enthusiasm was particularly strong in the Basque Country, where the radical left had a strong presence. However, when the transition to democracy in Spain in the late 1970s and early 1980s followed a reformist rather than revolutionary course, the sense of disillusionment among Basque radicals eager for revolutionary change was especially acute. This article examines the presence of "uchronic dreams"—imaginings of alternate, radically different futures for post-Francoist Spain—in Basque leftists' memories of the period between 1968 and 1982. Interviews with Basque militants who had been active in different organizations during the 1970s reveal the complex interplay of emotion and temporality in their memories of their activism. In understanding the memories of activists in terms of the loss and defeat of their revolutionary ideals, the author argues that melancholia plays an active role in shaping their memories. What emerges from their sense of loss of a future that never came to be is a new temporality that preserves intact many of their revolutionary expectations and utopian promises.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.028
GPT teacher head0.270
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

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