Berman and Toury: The Translating and Translatability of Research Frameworks
Bibliographic record
Abstract
An initial discussion of Kuhn, Lyotard, and Boothman offers a set of ideas on how and to what extent one research framework can be ‘translated’ into another. Berman’s and Toury’s frameworks for translation research are then examined using some concepts from the above-mentioned theorists, and also concepts from interlingual translation theory. In highly significant ways Berman’s and Toury’s frameworks are incompatible because of the incommensurability of basic ideas underpinning their frameworks. There is, however, some partial equivalence of concepts, in part brought about through evolution of the theories over time. When Berman has ‘translated’ Toury in the sense of discussing his ideas, we find phenomena analogous to those found in interlingual translation: equivalence, transference, shifts, naturalizing, and mistranslation. No doubt if Toury were to ‘translate’ Berman, similar traits would occur. The study supports a nuanced version of Lyotard’s theory: non-absolute incommensurability between discourses or research frameworks.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".