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Record W4317773693 · doi:10.32725/eer.2022.022

Self-narratives and transcultural tendencies in Quebec literature

2023· article· en· W4317773693 on OpenAlexaffabout
Patrick Imbert

Bibliographic record

VenueÉcho des études romanes · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNarrativeDreamImmigrationCreativityIdentity (music)LegitimationGender studiesSociologyHistoryLiteratureAestheticsPsychologyArtPolitical scienceSocial psychologyLaw

Abstract

fetched live from OpenAlex

En): In the Americas, cultural identities have always been questioned.In Québec, many texts have emphasized that immigrants feel exiled and nostalgic.However, contemporary autobiographies and self-narratives by writers born outside of Canada, such as Gérard Étienne, Dany Laferrière, Kim Thúy, Laure Morali or Emmelie Prophète show that immigrants seek to actively participate in the dynamics of their host society.Thus, this article analyses how writers and their narrative doubles engage in cultural encounters and challenge monolithic perceptions of identity through transcultural creativity.We understand that literature is no longer a privileged basis for the legitimation of Nation-states, but harbours the dream of new beginnings for narrative subjects to consider that they belong to themselves before belonging to a country.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0200.021
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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 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
Published2023
Admission routes2
Has abstractyes

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