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Record W7135519491

Narative and visual specifics in the work of Robert Lepage

2011· dissertation· cs· W7135519491 on OpenAlexaboutno aff
Aleš Stuchlý

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2011
Typedissertation
Languagecs
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPopularityNarrativeInterpretation (philosophy)Context (archaeology)Field (mathematics)Identity (music)Politics
DOInot available

Abstract

fetched live from OpenAlex

This thesis deals with the work of the Canadian filmmaker, playwright, actor, scenographer and theatre director Robert Lepage, who has until now shot five films during the period of 1995-2003. Systematic and detailed analysis of the chosen topic is accompanied by excursions into the cultural and political context of the Québec province, as Lepage's films are inherently connected with it. Methodologically the thesis is based on formalist analysis and contextual interpretation of Lepage's films. To describe Lepage's narrative style, fragmental and complicated in organization of time and space, the author has come up with a few unorthodox terms (such as "cubist narrative"). The aim of each chapter is to point out that in Lepage's films formal techniques are closely bound with the very nature of his works: searching for Québec's identity and the desire to approach the truth about man in general. After having read this thesis, the reader should conceive Robert Lepage as an author who has gained worldwide popularity in the field of theatre and opera, whose films, however, are still waiting (especially in Europe) to be recognized.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.464
Threshold uncertainty score0.933

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.019
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.016
GPT teacher head0.273
Teacher spread0.257 · 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
Published2011
Admission routes1
Has abstractyes

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