Lost in Translation: Shop Signs in Jordan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Shop signs, in the Jordanian public commercial environment, have invariably been studied from linguistic, sociolinguistic, and pragmatic perspectives, but they have been utterly ignored from a translational point of view . This study, the first of its kind, investigates various problems and inadequacies pertinent to the subject under discussion. Shop signs are selected here from a number of heterogeneous cities, and the translation errors therein, committed by communicators, were empirically analyzed and categorized. Language and culture are, of necessity, inextricably intertwined, and this nexus is particularly apparent in the world of local commercial shop signs, and thus it has been tackled for its direct relevance to the translation of these signs. This investigation, therefore, highlights the linguistic (e.g., word-order, wrong lexical choice, and reductionist strategies), and extralinguistic (i.e., sociocultural and promotional) factors that have turned out to lead to translation inappropriateness and unparallelisms, information skewing , and, consequently, serious semantic-conceptual problems in the produced TLTs. This study may, in a way, provide educated insight into the trendiest translation practices in this field, and the way shop signs are most often verbalized, mishandled, and mistranslated .
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it