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Record W4379520643 · doi:10.3138/cjfs-2021-0028

The Imagination at War: Visionary Poetics in Humphrey Jennings’s “I See London” and <i>London Can Take It!</i>

2023· article· fr· W4379520643 on OpenAlexaffvenue
Scott Birdwise

Bibliographic record

VenueCanadian Journal of Film Studies · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Literature and Poetry
Canadian institutionsYorkville University
Fundersnot available
KeywordsHumanitiesArtArt historyPhilosophy

Abstract

fetched live from OpenAlex

Résumé: Cet article réévalue l’image convenue du documentariste Humphrey Jennings, passé à la postérité à titre de poète cinématographique de « la guerre du peuple ». On y étudie le contexte poétique visionnaire de son poème “ I See London”, composé pendant la guerre (1941), et de son film London Can Take It! (1940), en contextualisant leur représentation de la vie quotidienne pendant l’urgence nationale que fut le Blitz ; cette contextualisation s’appuie sur les paradoxes qui animent la poétique postsurréaliste déployée par Jennings au sujet de cette guerre du peuple. Nous défendons l’idée que l’apport le plus important de Jennings au moral de l’Angleterre pendant la guerre repose sur la manière dont il affirme la capacité collective de la population à s’adapter aux conditions de guerre totale – conditions extraordinaires qui, comme le montre le cinéaste, possèdent leurs propres éléments (extra)ordinaires de rythme et de routine. Cependant, au lieu de normaliser simplement les paradoxes de l’époque, nous suggérons ici que Jennings fait appel à l’imagination poétique afin de protéger les dimensions historiques et symboliques du mode de vie de la population, évitant ainsi de réduire celle-ci à la position d’objet cible de la destruction.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.545
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.248
Teacher spread0.226 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes2
Has abstractyes

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