Bibliographic record
Abstract
Tina Mouneimné-Wojtas Écritures migrantes: Quebecois challenge. The essay analyzes écritures migrantes as a quebecois literary discourse relating both to the writing of immigrants and to migrant writing which is more metaliterary and aesthetic than sociological. The text examines a socio-cultural context of the development of écritures migrantes in the years 1980–2000 and particularly its ideological factors, writing strategies and aesthetic challenges in the society which for years has been struggling for identity in the English American continent. The author explores the extraliterary and literary reasons for the emergence of the migrant writing and also the challenges that both writers and critics of this literature have been facing. She poses many questions relating to the transcultural condition of writers associated with écritures migrantes and discusses problems of identity, literary tradtion, choice of themes and language of writing as well as expectations of readers. She points to many factors dividing the writers (national origin, language, education, gender, generation, writing practice) but also reveals the linking element which is a confrontation with the quebecois literary system (with its institutions consecrating and legitimizing literature such as academic and press criticism, system of awards and subsidies or inclusion in or withdrawal from school curricula). The impact of immigration on écritures migrantes is, as the essay argues, indisputable, but the fact of self-interpretation and its role in the construction of identity is also a crucial factor. The term “challenge” relates to the traditional approach of critics to writing which still belongs to the sphere of “otherness”.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".