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Record W1813799103

Levantine Arabic: A Surface Register Contrastive Study

2013· article· en· W1813799103 on OpenAlexvenueno aff
Mohammad Jafar Jabbari

Bibliographic record

VenueStudies in literature and language · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Linguistics, Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsModern Standard ArabicArabicLinguisticsVariety (cybernetics)Arabic languagesTaxonomy (biology)DiglossiaPalestineHistoryComputer scienceAncient historyArtificial intelligencePhilosophyBotany
DOInot available

Abstract

fetched live from OpenAlex

Levantine Arabic, also referred to as Eastern Arabic, is a variety of spoken Arabic. It is considered one of the major dialects of Arabic, spoken within the eastern Mediterranean coastal strip, including Lebanon, part of Palestine, Syria and western Jordan. In the frame of the general diglossic status of the Arab world, Levantine Arabic is used in informal situations, while most of the written and official documents and media use Modern Standard Arabic, also referred to as Classical Arabic. Levantine colloquial Arabic is so different from the Modern Standard Arabic that the two varieties are not mutually intelligible. This study aims to introduce the major differences between the two varieties within the framework of Surface Strategy Taxonomy. Key words: Modern Standard Arabic; Levantine Arabic Surface strategy taxonomy

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.029
GPT teacher head0.291
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 designObservational
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

Citations2
Published2013
Admission routes1
Has abstractyes

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