Bibliographic record
Abstract
Textes réunis par Jean-Pierre Bertrand et Lise Gauvin. (Documents pour l'histoire des francophonies/Théorie, 1) Brussels, P.I.E. — Oxford, Peter Lang — Montreal, Presses de l'Université de Montréal, 2003. 320 pp. Pb £19.00. The concept of ‘littérature mineure’ elaborated by Deleuze and Guattari in their 1975 text on Kafka has proved a far less productive notion for the theorization of instances of postcoloniality than might have been expected, even with the gift of hindsight, given the omnipresence of the ‘rhizomatic’ and the ‘nomadic’ as key conceptual tools of postcolonial analysis ever since the publication of Mille Plateaux five years later. In the earlier text, Deleuze–Guattari remind readers that a ‘littérature mineure n'est pas celle d'une langue mineure, plutôt celle qu'une minorité fait dans une langue majeure’ (p. 29) and go on to identify three characteristics of such literature: ‘la déterritorialisation de la langue, le branchement de l'individuel sur l'immédiat-politique, l'agencement collectif d'énonciation’ (p. 33). The conception of ‘minor literature’ that emerges from the case study of Kafka is not one of any simple hierarchical configuration expressed as a binary (major/minor), but rather as a transversal revolutionary principle inhabiting the practice of literature and the interplay of plurilingualism within specific socio-political contexts.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.131 | 0.011 |
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".