Hybrid languages, translation and post-colonial challenges
Bibliographic record
Abstract
Multilinguality, creolization and hybridisation are central phenomena of language. Languages bear the traces of creative borrowing, as well as forced changes as a consequence of domination. However, mainstream translation theory generally seems to presuppose a clear division between source language and target language. Why the persistence not to see the ways languages intermesh? In this essay I 1) argue the importance of multilinguality for translation theory, 2) suggest that the theoretical insistence in not seeing the way languages intermesh is grounded in an Occidentalist preoccupation with I/Other relations which require strict dichotomization and 3) disrupt the dichotomy with insurgent texts and voices which countermand the tendency to erase any kind of linguistic mixing. I conclude by proposing a methodology for taking fuller stock of the play of power and the plurality.
 Received: 08-04-07 / Accepted: 06-08-07
 How to reference this article:
 Price, J. M. (2007). Lenguas híbridas, traducción y desafíos poscoloniales. Íkala. 12(1), pp. 61 – 93.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".