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Record W7070273018

Postmodernism's defeat beautiful losers and prochain épisode as postcolonial works

2010· other· en· W7070273018 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge UdeS (Institutional Deposit of the University of Sherbrooke) · 2010
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicGeotourism and Geoheritage Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsPostmodernismInterpretation (philosophy)Order (exchange)Period (music)Character (mathematics)Mode (computer interface)
DOInot available

Abstract

fetched live from OpenAlex

This thesis investigates Leonard Cohen's Beautiful Losers and Hubert Aquin's Prochain épisode in terms, of postcolonial and postmodern theory. These novels are often interpreted as being either one or the other. Critics rarely take into consideration that both of these works have features which can be seen to fit both theories. Both of these authors are valued as some of the more difficult novels to comprehend in terms of Canadian novels making this thesis even more complex and a challenge to write. It made sense to choose to investigate these two works side by side because they have a lot of similarities. Some of these resemblances range from aspects as basic as the time period when the novels were written to the author's methods of using history to make social commentary. It was also important to use two writers from Montreal, each from one of the two solitudes, in order to explore how their novels fit postmodern and postcolonial theories. This theoretical thesis attempts to show how both Leonard Cohen and Hubert Aquin do not use their writing for a nihilistic purpose. Each author uses historical situations to display a hope for new beginnings in the future. Despite all of the literature that exists on both Leonard Cohen and Hubert Aquin, this study tries to show a different interpretation then what has already been done.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.537
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.179
Teacher spread0.172 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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