MétaCan
Menu
Back to cohort
Record W2401509597 · doi:10.7202/1035771ar

Figure(s) de sang : amours secrètes, troubles fratries et « miscégénation » dans The Searchers, The Unforgiven et The Missing

2016· article· fr· W2401509597 on OpenAlexvenueno aff
Denis Mellier

Bibliographic record

VenueCinémas Revue d études cinématographiques · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicSamuel Beckett and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Sorti quatre ans après The Searchers (La prisonnière du désert, 1956), de John Ford, The Unforgiven (Le vent de la plaine, 1960), de John Huston, traite également des thèmes de la famille, des amours interdites et de la « miscégénation ». Au-delà des ressemblances attribuables à l’imaginaire des romans homonymes d’Alan LeMay que ces deux oeuvres adaptent, une circulation de motifs et d’arguments fonde un dialogue objectivable entre les deux films. Cet échange semble se poursuivre dans The Missing (Les disparues, 2002), de Ron Howard, où les mêmes éléments sont présents, mais déplacés et reformulés. Cet article examine la façon dont une figure, comprise comme un réseau de motifs et d’associations, permet une forme de reprise implicite conditionnant des effets de lecture complexes. Cette circulation figurale se distingue des formes de la réflexivité et de l’intertextualité ou du jeu avec les conventions d’un matériau générique. À l’intérieur de l’imaginaire du genre, le secret et l’implicite font émerger un sens jouant de libres associations, d’effets de mémoire et d’imagination. Il s’agit alors de s’interroger sur ce processus d’émergence dans le cadre d’une pensée de la généalogie des films qui ne saurait se limiter, sans pour autant les méconnaître, à leurs relations objectivées de reprises et d’influences.

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: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

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 studies0.0040.009
Scholarly communication0.0060.004
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.002

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 head0.066
GPT teacher head0.294
Teacher spread0.227 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCinémas Revue d études cinématographiquesSame topicSamuel Beckett and ModernismFrench-language works237,207