Hysteron-proteron: A Polyfunctional Rhetorical Device – with Reference to Arabic-English Translation
Bibliographic record
Abstract
Hysteron-proteron is one of the rhetorical devices present in all literary works and in almost all literate cultures. Linguistically, it is considered a kind of inversion, topicalization or permutation that occurs on the sentence level and involves deviation in the syntagmatic progression of sentences as well as a semantic shift encompassing scope, focus and emphasis (Jakobson 1972: 78-80) besides fulfilling certain grammatical processes such as interrogation and passivization (Jack et al. 1989). Literarily, hysteron-proteron has a great aesthetic and poetic relevance as it is one of the rhetorical devices that can structurally modify both the texture and sense of the text according to the writer’s taste and intention. In other words, it offers one of the stylistic options that will consequently exercise certain pragmatic impact on the reader. It goes without saying, however, that by virtue of its strong affinity to syntax, semantics and style, hysteron-proteron usually involves translation problems which acquire more salience when the languages hold two diametrically opposing standpoints as is the case with Arabic and English. After expounding hysteron-proteron and, diagrammatically, illustrating its polyfunctionality, an account is provided on its occurrence in prose, poetry and in Arabic sacred literature i.e., the Qur’an, tackling its deeper sedimented layers in the Arab mind. The paper also legislates for the unmistakable impact of Western style of literary expression on some Arabic narrative texts. This just projects one more benefit of translation when used as a probing device in detecting literary borrowing through awkward or blind literal rendering of purposefully-disrupted word-order in English into Arabic or vice versa.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".