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Record W4378440469 · doi:10.1515/9780773599369

Migrant Text

2016· book· en· W4378440469 on OpenAlexaboutno aff
Subha Xavier

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2016
Typebook
Languageen
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The expression "littérature migrante," coined by Québécois critics in the mid-1980s, reflected the emerging body of literary works written by recent immigrants to the province. Redefining the concept of migrancy, Subha Xavier’s The Migrant Text argues that global movements of people have fundamentally changed literary production over the past thirty years. Bringing together a corpus of recent novels by immigrants to France and Quebec, Xavier suggests that these diverse works extend beyond labels such as francophone or postcolonial literature to forge a new mode of writing that deserves recognition on its own terms. Weaving together literary theory and salient examples taken from numerous French-language novels, The Migrant Text shows how both external and internal factors shape migrant writing in contemporary French literature. The opening chapters trace the elusive concept of the migrant as it appears in extant theories of nationalism, postcolonialism, world literature, and francophonie. What follows are incisive analyses of fiction written for French audiences by authors from Algeria, Cameroon, China, Haiti, Iraq, and Poland, whose works reveal that the processes of troubling national categories and evading colonial power dynamics can be wellsprings for creativity. One of the most pressing social and political topics of our day, immigration challenges our ideas about homeland and citizenship. Celebrating the courage and tenacity of immigrants from around the world, The Migrant Text carves a new space for discussing the dynamics of global literature.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.176
Teacher spread0.163 · 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

Citations18
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicCaribbean and African Literature and CultureFrench-language works237,207