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Record W926265758

Est-ce un royaume paisible? Image du pays à travers les contes choisis

2013· article· fr· W926265758 on OpenAlexaboutno aff
Aleksandra Chrupała, Joanna Warmuzińska‐Rogóż

Bibliographic record

VenueAdam Mickiewicz University Repository (Adam Mickiewicz University in Poznan) · 2013
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical and Literary Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsArt
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this analysis is to discuss the panorama of stories in Quebec, having a strong cultural background and dialoguing with different traditions. The authors of the article first outline the past of the story, originally oral, but enriched in the nineteenth century by a written version thanks to many writers. Thereafter, they make an inventory of the most common characters and motifs of traditional storytelling. However, even if the story is undoubtedly an integral part of the literary and cultural heritage of Quebec as evidenced by a long tradition of storytelling, it is definitely not homogeneous as among Quebec stories one can find particularly those classified as historical, anecdotal and supernatural. On top of this, stories change considerably with transformations in the Quebec society in the first half of the twentieth century. Even today, stories and storytellers are a major element in the cultural landscape of Canada, whether in literature or in the mass media, including television and the internet. Throughout the last century the story had moments of glory and decline, with a real revival in the 1990s. In order to illustrate new trends in the story that overlap with the old tradition, the authors focus on the creation of Fred Pellerin, a young artist, author of several collections of written and oral stories, who uses patterns and characters of ancient stories by giving them quite modern accents.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0010.005
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.008
GPT teacher head0.157
Teacher spread0.149 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2013
Admission routes1
Has abstractyes

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