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Record W4210853299 · doi:10.1177/1086296x221076431

Leading Literate Lives: Afghan Refugee Children in a First-Asylum Country

2022· article· en· W4210853299 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

VenueJournal of Literacy Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRefugeeEthnographyLiteracyReading (process)AfghanPedagogyPsychologySociologyGender studiesPolitical science

Abstract

fetched live from OpenAlex

Most refugees in countries of permanent resettlement arrive from first-asylum countries – countries where refugees initially move to escape crisis in their homelands. Their pre-resettlement educational experiences have largely been undocumented. This qualitative ethnographic study describes the literacy practices of four elementary-aged Afghan refugee children in Pakistan. The findings revealed rich and various literacy practices these children and their families engaged in at home and beyond, such as practicing religious supplications or engaging in storytelling, trying to read and write in Urdu and English, reading the Quran or religious supplications, and helping others with their own literacy development. The parents and guardians highly valued literacy and believed it instilled manners, morals, and essential skills in their children. This research includes important implications for teachers working with refugee students.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.036
GPT teacher head0.430
Teacher spread0.394 · 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