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Record W2107617304 · doi:10.7202/024820ar

L’historiographie parallaxiale et la flâneuse : le cinéma pré- et postclassique

2007· article· fr· W2107617304 on OpenAlexvenueno aff
Catherine Russell

Bibliographic record

VenueCinémas Revue d études cinématographiques · 2007
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

L'historiographie parallaxiale renvoie à la manière par laquelle le cinéma des premiers temps apparaît lorsqu'il est considéré selon la perspective de la fin du XXe siècle. Le présent article traite des parallèles qu'on peut établir entre la première décennie du cinéma et la diversification des médias visuels dans les deux dernières décennies du siècle. Ces similitudes ont été théorisées par les chercheuses féministes Miriam Hansen, Anne Friedberg et Giuliana Bruno, qui ont soutenu que les sphères publiques caractéristiques de ces deux périodes ont engendré une forme de spectatorat très différente de celle que proposait la « théorie du dispositif ». La diversité des médias et des positions de lecture, ainsi que les diverses architectures de réception, semblent renvoyer à un certain modèle de modernité et à un regard qui offre un espace au spectatorat féminin. Le présent article tente de résumer et de rassembler ces théories en insistant particulièrement sur leur valeur à titre d'historiographie du cinéma des premiers temps.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.011
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0160.001

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 head0.263
Teacher spread0.235 · 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 designTheoretical or conceptual
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

Citations6
Published2007
Admission routes1
Has abstractyes

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