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Record W4237137876 · doi:10.32920/ryerson.14665620

Funny feelings: taking love to the cinema with Woody Allen

2021· preprint· en· W4237137876 on OpenAlexaff
Zorianna Zurba

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsWilfrid Laurier UniversityUniversity of TorontoToronto Metropolitan UniversityCentre for Social InnovationBrock UniversityYork University
Fundersnot available
KeywordsMovie theaterPhenomenology (philosophy)FeelingEmbodied cognitionPsychoanalysisPhilosophy of loveAestheticsInfatuationRepresentation (politics)ArtArt historyPhilosophyPsychologyEpistemology

Abstract

fetched live from OpenAlex

This dissertation utilizes the films of Woody Allen in order to position the cinema as a site where realizing and practicing an embodied experience of love is possible. This dissertation challenges pessimistic readings of Woody Allen’s film that render love difficult, if not impossible. By challenging assumptions about love, this dissertation opens a dialogue not only about the representation of love, but the understanding of love. Rather than a Platonic love of unity, this dissertation combines the phenomenological work of Luce Irigaray and Jean-Luc Marion to describe a love of letting be. A love of letting be focuses on the lived experience of love as a phenomenology. In a love of letting be it is the intent of both lovers to regard each other as an unknowable whole, whom they must support and whose mystery they must protect. The transformations of four characters from Allen’s cinema, Allan Felix of Play it Again, Sam, Alvy Singer of Annie Hall, Cecilia of The Purple Rose of Cairo, and Mickey Sachs of Hannah and her Sisters serve as illustrations of how coming to a love of letting be is possible. The four characters, the nervous romantics, come to understand a love of letting be through their experience in the cinema. Their experience in the cinema comes to enlighten their understanding and living of love as a love of letting be.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.852
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.000

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 head0.042
GPT teacher head0.252
Teacher spread0.211 · 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
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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