Bibliographic record
Abstract
In a seminal contribution published in Target in 1998, Daniel Simeoni argued for a habitus-governed model of explanation for translation and suggested that subservience might be a defining feature of this habitus, a primordial norm. The objective of the present article is twofold. First, it aims to recontextualize the ‘subservience hypothesis’ by shedding light on the empirical work underlining it. Second, following the approach developed in Simeoni (2001) , the author tests again the hypothesis through textual analysis, by studying the early translation history into French of a textbook entitled Marketing Management by Philip Kotler. The author explores to what extent traces of the primordial norm, as defined by Simeoni (2001) , can be found in the first four French editions of this scholarly text produced over the period (1967–1981), two of which were signed by a professional translator and the others by a marketing scholar.
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 | 0.024 | 0.100 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.021 | 0.031 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.012 |
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".