Documentation of discourse-related Particles in North Hail Arabic
Bibliographic record
Abstract
The current research investigates a range of discourse particles used in North Hail Arabic, a variety spoken in Saudi Arabia. It delves into their pragmatic functions related to discourse. Investigating 17 discourse particles, the current research argues that they are associated with specific discourse/pragmatics functions: speaker-positive, speaker-negative, evidentiality, and discourse coherence. Additionally, the current research introduces a general syntactic analysis for these particles, assuming that they are heads, associated with discourse features, have their own functional projections and are base-generated in the left periphery. It shows that these particles are different in terms of whether they are able to be resumed by a pronominal clitic or not. For this, the study attributes this behaviour to whether the given particle has a set of Φ-features (phi-features) or not. All in all, the current research is meant to bring these particles to the fore, suggesting them as a rich area for different linguistic domains (i.e., syntax, semantics, pragmatics, etc.).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".