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Record W2032302085 · doi:10.1075/wll.16.1.04tib

Emergent writing of young children in the United Arab Emirates

2013· article· en· W2032302085 on OpenAlex

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

VenueWritten Language & Literacy · 2013
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsQueen's University
FundersUnited Arab Emirates University
KeywordsDiglossiaArabicNeuroscience of multilingualismCategorizationLiteracyPsychologyDevelopmental psychologyEmergent literacyWriting systemLongitudinal studyPedagogyMathematics educationGeographyLinguisticsMedicine

Abstract

fetched live from OpenAlex

We report results of writing samples of six Emirati children aged four to four and a half years collected at monthly intervals over an eight month period (the kindergarten academic year). Three teachers and six parents were interviewed to triangulate the data that were collected in the classrooms. The grounded theory method was used to code and categorize the data, which were then compared with the literature on emergent writing. Findings of this longitudinal study revealed that few opportunities are provided at home and in kindergarten for the development of young children’s emergent writing in Arabic and revealed other issues related to bilingualism and diglossia. Recommendations are provided for policy makers, teachers, and parents that would accelerate the development of young children’s Arabic literacy, particularly emergent writing skills, in the United Arab Emirates (UAE).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.299
Teacher spread0.288 · 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