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Record W2801212251 · doi:10.3138/cjfs.21.1.104

Castrating the Body of the Police: Portraits of an Impotent Institution in the Early Films of Pedro Almodóvar

2012· article· fr· W2801212251 on OpenAlexvenueno aff
Frédéric Conrod

Bibliographic record

VenueCanadian Journal of Film Studies · 2012
Typearticle
Languagefr
FieldArts and Humanities
TopicSpanish Culture and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPortraitInstitutionMerge (version control)Art historySociologySocial science

Abstract

fetched live from OpenAlex

De 1980 à 1997, Pedro Almodóvar a, dans ses films, systématiquement ridiculisé la police. Comme il le soutenait au commencement de sa carrière de réalisateur, l’Espagne ne craignait plus une institution qui fut la main droite d’une dictature. Pendant les années de la Transición toutefois, le rôle et l’image de la police, vue comme un ennemi social, change d’un film à l’autre. Le spectateur peut voir cette évolution se déployer dans les premiers films d’Almodóvar. Cet article suit le développement de l’image de la police dans ces films, développement conçu comme une série caricaturale qui émerge d’un long processus de castration désirant empêcher le corps policier de reproduire une dictature.

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)0.003
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 score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.013
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.273
Teacher spread0.228 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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