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Record W2218183376

À la recherche de L'Île perdue

2015· dissertation· fr· W2218183376 on OpenAlexaboutno aff
Edmund Stenson

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2015
Typedissertation
Languagefr
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterTreasureFilm directorFilm theoryArtFilm studiesArt historyPerformance artReading (process)Short FilmArgument (complex analysis)HumanitiesVisual artsLiteratureHistoryPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Raul Ruiz famously referred to his 1985 adaptation of Robert Louis-Stevenson’s Treasure Island as a “trailer or user’s manual” for his entire cinema. Given that the film involved two years of pre-production, a three-month shoot, and then a tortuous six year post-production process in which both major financiers—Paulo Branco’s Les films du passage and 80s B-movie powerhouse Cannon Films—experienced bankruptcy, it would seem somewhat strange to the outsider, though not entirely uncharacteristic to the initiated that he would do so. This thesis addresses Ruiz’s self-assessment by doing two things: firstly, it attends to the relationship between theory and practice in the director’s cinema, using his writings as the foundation for a production history of the film (focusing, in particular, on Cannon’s attempts to legitimize and “civilize” its cinematic output, and the manner in which Ruiz’s emphasis upon the aleatory is reflected in the aesthetic scars of the film). Secondly, it uses this history—as well as the literary reading theory of Québec scholar Gilles Thérien—as a foundation for its central argument: Treasure Island is an allegory of the Ruizian reading process itself. Understanding the film in such a way opens the door for further academic work on the director’s adaptation process, an under-theorized area within the field of Ruiz study.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, 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: Other
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.191
GPT teacher head0.352
Teacher spread0.161 · 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
Published2015
Admission routes1
Has abstractyes

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