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Record W4206504899 · doi:10.18251/ijme.v23i3.2929

Supporting Online Learning in an Unfamiliar Language: Immigrant Parents and Remote Schooling during COVID-19

2021· article· en· W4206504899 on OpenAlex
Emma Chen

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

VenueInternational Journal of Multicultural Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsImmigrationCoronavirus disease 2019 (COVID-19)NarrativePandemicFace (sociological concept)Sociology2019-20 coronavirus outbreakPedagogyPsychologyPolitical scienceLinguisticsMedicineSocial science

Abstract

fetched live from OpenAlex

The sudden burst of COVID-19 and the shift to remote schooling have posed a special challenge for families whose first language is not English. Engaging in a narrative inquiry, I tell stories of parents from three Chinese immigrant families and how they coped with young children’s remote schooling during COVID. I present the challenges immigrant parents face and the strategies they adopt to support their children. This inquiry offers useful insights into remote schooling during the pandemic by adding perspectives from immigrant parents, who can provide opportunities for educators to learn how to better support minoritized 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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.438
Teacher spread0.402 · 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