Bibliographic record
Abstract
This paper discusses tense in Arabic based on three varieties of the language: Classical Arabic (CA), Modern Standard Arabic (MSA), and the Taif dialect (TD). We argue against previous analyses that suggest that Arabic is a tenseless language, which assume that tense information is derived from the context. We also argue against the suggestion that Arabic is tensed, but that its tense is relative, rather than absolute. We propose here that CA, MSA, and TD have closely related verb forms, and that these are tensed verbs. Tense in Arabic is absolute in a neutral context and verb forms take the perfective and imperfective aspect. Similar to other languages including English, verb forms in Arabic may take reference from the context instead of the present moment. In this case, we argue that this does not mean that tense in Arabic is relative, because this would also imply that tense in many languages, including English, is relative. Further, we argue that the perfective form indicates only the past tense and the imperfective form, only the present; all other interpretations are derived by implicature.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".