Bibliographic record
Abstract
Les concepts de l’écriture et le style sont souvent employés comme des synonymes par les critiques littéraires et les linguistes. Alors que les deux notions semblent signifier la même chose, il y a une distinction étroite entre elles. Cet article se soucie d’exposer à la lumière du jour les distinctions qui existent entre la notion de l’écriture et celle du style. En adoptant la sémiologie selon Roland Barthes, il cherche à démontrer que l’écriture comprend l’histoire sociale qui constitue l’idée et le message de l’oeuvre. Le style par contre est un concept linguistique qui met en exergue le message (l’écriture) d’un texte. Cet article fait l’analyse d’un roman de Sembène Ousmane, Xala pour éloigner l’ambiguïté qui enferme l’emploi des deux notions. Il est conclu que l’écriture et le style sont des jumeaux qui vont de paire. C’est l’écriture qui vient avant le style.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".