Bibliographic record
Abstract
In reaction to the external sociological approaches, which focus on the production, reception, and effects of translated texts; in reaction to the increasingly metaphorical uses of the concept of ‘translation’, Sociocriticism seeks to return to textuality , to the ‘inside’ of the translated text in order to explore its relationships with social discourse, that which is communicated in a given state of society. This socio-semiotic theory emerged in France in the 1970s within the field of literature (Duchet 1970). Its extension to Translation Studies occurred in Canada two decades later (Brisset 1996 [1990]). The study provides an overview of the historical foundations of the sociocritical framework, from genetic criticism and cultural semiotics to the epistemological rupture in Critical Translation Studies operated by Toury’s descriptive and target-oriented model. Operational concepts of Sociocriticism such as ‘social discourse,’ ‘ideologeme,’ or ‘sociogram’ are explained and applied to the analysis of translations belonging to various genres, fields (social systems), and time periods.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.051 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".