Literary text as a speech of sociality. French sociocritique
Bibliographic record
Abstract
The comprehensiveness of the literary work is produced only in the social context. Over time various methods / perspectives have profiled on the text, who were interested distinctly of this aspect the most recent being socio-criticism. Its stake consists in the analysis of the modalities through which society is reflected in textual structures. In contrast to the sociology of literature, socio-criticism puts up for text review at all levels: semantic, syntactic, narrative. The difficulty of defining this discipline was conditioned by the interpretations given to it in several schools (Vincennes, Montpellier, Montréal), which varied from the approaches to linguistics to those that go beyond the literary specifics. Although it faces some difficulties in defining the subject matter and the work area, the socio-criticism proves its viability and affirms itself as a new method and a new perspective on the text along with the other known ones.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".