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Record W2809137874 · doi:10.5430/elr.v7n2p54

Non-restrictive relative clauses in Arabic

2018· article· en· W2809137874 on OpenAlexvenueno aff
Abdulrahman Alqurashi

Bibliographic record

VenueEnglish Linguistics Research · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
FundersKing Abdulaziz University
KeywordsComplementizerRelative clauseLinguisticsSyntaxArabicDependent clauseModern Standard ArabicTransformation (genetics)Computer scienceMathematicsPhilosophy

Abstract

fetched live from OpenAlex

This paper discusses the syntax of non-restrictive relative clauses in Modern Standard Arabic (MSA). It provides a thorough description of their structures and attempts to offer a preliminary analysis within the transformation framework: Minimalist syntax. Two relativization strategies are available for Arabic non-restrictive relative clauses. The first strategy is similar to that of definite restrictive relatives in which the relative clause is initiated by ʔallaðiwhich is a relative complementizer, whereas the second strategy is a unique one in which the relative clause is initiated by the special particle wa, appears to be a specifying coordinator, along with the complementizer ʔallaði. The paper also argues that De-Vries’s (2006) coordinate approach to appositive relatives can provide a straightforward account for some the facts of non-restrictive relative clauses in Arabic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.092
GPT teacher head0.353
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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