Jordanian Folkloric Songs in Translation: Mousa’s Song They Have Passed by Without a Company as a Case Study
Bibliographic record
Abstract
Folkloric song-translation is a research area that diverges acutely from the centre of interest of interlingual-intercultural transfer in general, and Arabic-English translation studies in particular. This paper attempts to shed light into Abdu Mousa’s culture-bound song marren wa ma ma’hin hada ( they have passed by without a company ), as an instance of the challenges that folkloric songs may pose in translation, and how, when translating between cultures with different discursive properties, the translator has a certain leeway when reformulating the lingual-cultural import of the source text for target readers. Drawing on Low’s (2005a) Pentathlon Approach , and placing a strong emphasis on content , the study highlights the problems and difficulties involved in translating this type of song, and demonstrates a number of unique aspects of translating folkloric songs, which involve elements of sense, naturalness, cultural references, and how these elements are interconnected and entangled with each other. These insurmountable difficulties are accounted for by the existing sharp linguistic and cultural differences between Arabic and English, and, the incompatibilities between the two working concept systems of the two languages, which add to the intricacy of translating this type of literature. On a less formal level, colloquialism has been found to have had its way to the source language text, a factor which further complicates the abridgement process.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".