Derivation and Interpretation of Expressiveness Devices in North Hail Arabic: Minimalist Account
Bibliographic record
Abstract
This paper investigates the interpretive properties of what are termed expressiveness devices, characterised as clitic, pronoun and demonstrative. In what seems to be cases of multiple expression of a single argument, the proposed investigation involves generative syntactic analyses to the interaction of a set of expressiveness devices with an associate DP, accounting for their interpretation at both LF and PF interfaces (Chomsky, 1995 et seq). Exploration of a set of North Hail Arabic (henceforth, NHA) data containing expressiveness devices, all of which agree in φ-features with the associate DP, it is shown that the expressiveness devices maintain rigid order in the left periphery of the clause, each generated for certain discourse-interpretive property expressing a distinct value of information structure, through establishing an Agree relation (Chomsky, 2001) with the associate DP. Amongst the insights the analyses show is that NHA allows for multiple probes agreeing with a single goal. In this way, a probing head probes through another c-commanded probing head, in which case the goal is visible to the upper probing head. Movement is therefore shown to be triggered in case where goal’s visibility, related to feature valuation, is not available, hence, movement presupposes agreement.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".