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Record W6945444697 · doi:10.2307/90008149

Modes of Intersubjective Address in The Central Character (1977) and Our Marilyn (1987)

2016· article· fr· W6945444697 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicThomas Hardy Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)SubjectivitySubject (documents)Field (mathematics)ESPACE

Abstract

fetched live from OpenAlex

Le présent article examine l’emploi des formules de politesse intersubjectives dans le cinéma expérimental féministe canadien entre 1979 et 1987. Il compare The Central Character (1979) de Patricia Gruben et Our Marilyn (1987) de Brenda Longfellow, analysant les façons dont l’usage des formules de politesse expérimentales dans ces deux films brouille la frontière entre l’espace diégétique et l’espace non diégétique, sans jamais laisser le spectateur s’engourdir dans ses certitudes. Cet article prend le contre-pied de la lecture interprétative du cinéma féministe d’avant-garde de cette décennie perçu comme étant engagé dans des pratiques perturbatrices. Cependant que la dissonance et la dislocation font partie intégrante de l’histoire de l’esthétique du cinéma féministe expérimental, le présent article soutient qu’il est également nécessaire de faire ressortir des moments de résonance et d’échanges intersubjectifs dans ces films. Les expériences de Gruben et de Longfellow concernant les formules de politesse cinématographiques sont considérées comme étant des interventions importantes dans les formes dominantes de représentation qui étendent le champ de possibilités aussi bien pour l’image de la femme à l’écran que pour le spectateur féministe présent dans le public.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.033
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.003
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 head0.015
GPT teacher head0.193
Teacher spread0.178 · 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 designQualitative
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

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