“Prompt, at any time of the day…”: the Emerging Translatorial Habitus in the Late Habsburg Monarchy
Bibliographic record
Abstract
As one of the key notions in French sociology, habitus has also lately conquered the field of translation studies, at least from the perspective of a sociologically-oriented view of translation. In this paper I will critically highlight the main factors responsible for the term’s potential for translation purposes. Within the discussion of its adoption in translation studies, I will test the enduring claim of the translator’s submissiveness allegedly related to the translatorial habitus . On the basis of a case study on the private (commercial) translation sector in the late Habsburg Monarchy, I will focus on three aspects to substantiate my assumption that towards the end of the nineteenth century, the commercial translators’ activity was already characterized by explicit emancipating processes, mostly driven by the struggle for recognition in the field: the initially weak structure of the field; the habitus as a product of the relation between its collective and individual history; the conditions triggering the dynamism of the translator’s habitus . I will attempt to develop a differentiated view on the habitus concept, challenging traditional discussions of its informative value.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.038 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".