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Record W7083576837 · doi:10.3102/00028312251361169

“Le Voy a Adelantar el Camino”: Mothers Paving the Way Through Linguistic Motherwork in Bilingual Kindergarten Classrooms

2025· article· en· W7083576837 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

VenueAmerican Educational Research Journal · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEthnographyNarrativeBilingual educationDiscourse analysisLanguage acquisitionNeuroscience of multilingualism

Abstract

fetched live from OpenAlex

Grounded in the frameworks of motherwork, linguistic motherwork, and Family Language Policy, this critical ethnographic study examined how a group of mothers supported their children’s linguistic and educational development amid shifting school conditions during the COVID-19 pandemic. Although online learning increased their access and positioned them as co-teachers, the mothers faced an overload shaped by intersecting social, linguistic, and institutional demands. As schools continue to recover in the post-pandemic era, these findings call for reimagining family engagement to decenter schools and to listen to all families without essentializing their multifaceted identities. Centering diverse parental experiences disrupts damage-centered narratives of learning loss and reveals how families sustained learning beyond dominant models of school-based involvement.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.370
Teacher spread0.335 · 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