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Record W2773688099 · doi:10.4000/belphegor.979

The middlebrow Spanish Civil War film: a site of mediation between culture and history.

2017· article· en· W2773688099 on OpenAlexvenueno aff
Laura J. Lee Kemp

Bibliographic record

VenueBelphégor · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Culture and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsMiddlebrowSpanish Civil WarNarrativeMediationHistoryOralityAestheticsLiteratureArtSociologySocial science

Abstract

fetched live from OpenAlex

Films set during or immediately after the Spanish Civil War have a long tradition in Spain, one which spans the entire spectrum of filmic genres, from propaganda to musicals to art-house. This genre has not abated since the turn of the century, it has become increasingly ubiquitous and since the late 1990s, undeniably ‘middlebrow’. Yet this prolific genre, on the whole, is largely snubbed by films critics and academic researchers alike. The old adage of ‘oh not another civil war film’ remains widely recurrent in the press, but the fact that many, if not all, of these productions deal with narrative tropes that are of profound social relevance warrants further investigation. By analysing the primacy of emotion and affect in two films, Blind Sunflowers (Los Girasoles Ciegos, 2009) and The Sleeping Voice (La voz dormida, 2011), this article argues that civil war films constitute a sub-genre of the Spanish middlebrow which is exceptionally, yet controversially, well-suited to the exploration of socially and culturally traumatic themes.

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)0.002
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: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.001
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 head0.034
GPT teacher head0.227
Teacher spread0.193 · 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
Published2017
Admission routes1
Has abstractyes

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