A Minimalist Account of Free Relative Clauses in Zahrani Spoken Arabic
Bibliographic record
Abstract
This paper explores the syntax of free relative clauses in Zahrani Spoken Arabic (henceforth ZSA). The paper shows that ZSA possesses two types of free relative clauses, viz., nominal free relative clauses and adverbial free relative clauses. The focus of the paper is on nominal free relative clauses. It is shown that nominal free relative clauses can appear in a subject position and a direct object position, and the range of relativization involves subject, direct object, indirect object, prepositional object and possessor relativization. The derivation of free relatives in ZSA involves resumption relativization strategy only where gaps are treated as null resumptive pronouns. As for distribution of null and overt resumptive clitics, there is an alternation between the use of null and overt resumptive pronouns/clitics in subject and direct object position. However, the utilization of overt resumptive pronouns/clitics is mandatory in indirect object, prepositional object and possessor position. It is argued that the free relative markers illi: and mi:n are complementizers. Furthermore, as null and overt resumptive clitics exhibit a big resemblance with respect to their behaviour in the coordinate structures and parasitic gaps, both free relatives with null or resumptive pronouns/clitics involve a null operator movement (in non-island contexts) from inside the free relative clause to the specifier of a complementizer phrase (spec CP). The CP is adjoined to a null antecedent occupying the head of a noun phrase (NP) which is a complement of a determiner phrase (DP) with an empty D.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".