Zaraʿnā Law Ṭalaʿet Yā Rēt! On Wish, Hope, and other Bouletic Modalities in Spoken Arabic from Syria
Bibliographic record
Abstract
In this paper we deal with bouletic (or boulomaic) modalities in spoken Arabic from Syria, a modal variety intimately related to the area of irrealia, possibilia or possible worlds. While the categories of alethic and deontic are rather the domain of truth and reality, bouletic modalities are, par excellence, the realm of interlocutors' subjectivity. Our paper analyzes conventionalized expressions used in spoken Arabic from Syria to convey the meanings of wish and hope (that form the hard core of the larger bouletic modality); we focus on the 'hard core' of bouletic: the semantically complex expression yā rēt (would God...!; if only...!), with its possible combinations, as marker of desirable, and on desiderative operators law, ʾizā, ʿalaww, wēn, barki, etc. The interpretative approach highlights the hybrid character of the illocutionary acts performed through the use of bouletic operators, proving that in Syrian - as in natural languages, in general - the bouletic modality is deeply connected with (and even dependant on) other modalities, especially evaluative and deontic. Ultimately, our approach sheds light on the linguistic creativity manifested by Syrian Arabic speakers when modalizing their discourse: an aspect that emphasizes the virtues of the colloquial mode that sets no limits to expressivity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".