The Religiosity of Translator: Is it an Echo of the Heart or the Mind?
Bibliographic record
Abstract
This article offers a critical appraisal of the daynunah [religiosity] of the mind and its manifestation in the work of the English-Arabic-English translator. It is an attempt to provide a novel concept of the mind and its religiosity from an Islamic socio-cultural-psychological perspective and then apply it to a translator and investigate whether their translation is the echo of the heart or mind. English-Arabic-English translation examples from media translated texts were used for analysis and discussion. Results of the analysis and discussion have indicated that the religiosity of the translator resonates the echoes of the heart more than those of the mind and that there is an urgent need for guidelines to allow translators to work in a more balanced and unbiased manner. Researchers in other fields of knowledge could also apply this new concept to, for example, the religiosities of academics, doctors, scientists, lawyers, businessmen and politicians.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".