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Record W4309468138 · doi:10.1075/sal.11.01abo

Palestinian Arabic in the diaspora

2022· book-chapter· en· W4309468138 on OpenAlex
Yasmine Abou Taha, Stephen Levey

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStudies in Arabic linguistics · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDiasporaArabicLinguisticsVariety (cybernetics)PopulationFeature (linguistics)HistoryGeographySociologyComputer scienceGender studiesArtificial intelligenceDemographyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Using a comparative sociolinguistic framework, the present investigation addresses contact between Palestinian and Lebanese Arabic in Beirut. The investigation targets the variable raising of /a:/ to [e:] in word-medial position, claimed to be a stereotypical feature of Lebanese Arabic, which is reportedly infiltrating the Palestinian Arabic spoken by the local refugee population. Incorporating extra-linguistic parameters of contact into the investigation as well as an apparent-time component as a check on linguistic change, the study compares Lebanese and Palestinian speech data to determine the extent to which the linguistic conditioning of the target variable in Lebanese Arabic is replicated by speakers of Palestinian Arabic. Results suggest that the variable use of word-medial raised [e:] in Palestinian Arabic is the product of contact with the majority Lebanese variety and that this development can be characterized as an off-the-shelf change insofar as it is relatively accessible to those speakers who adopt it.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.123
GPT teacher head0.383
Teacher spread0.261 · 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