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Record W4411084813 · doi:10.1177/00220574251349795

“I Watched my Child Become Half of the Person They Were”: Emergency Remote Learning Experiences Among Primary Caregivers of Elementary School Children During the COVID-19 Pandemic

2025· article· en· W4411084813 on OpenAlexafffundabout
Julia Yates, Cara A. Davidson, Treena Orchard, Shauna M. Burke, Tara Mantler

Bibliographic record

VenueJournal of Education · 2025
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsChildren’s Health Research InstituteWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Psychology2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Primary carePrimary educationMedical educationMedicinePedagogyFamily medicineVirology

Abstract

fetched live from OpenAlex

Transitioning to emergency remote learning during the COVID-19 pandemic substantially impacted families; however, the lived experiences of caregivers with young children regarding this transition remain largely unexplored in Canada. The purpose of this paper was to report on how primary caregivers of school-aged children experienced this shift. Semi-structured interviews were conducted with 22 caregivers. Analysis revealed five findings: (1) emotional challenges; (2) home environment-related challenges; (3) gaps in learning; (4) schooling choices; and (5) school supports. Decision makers must ensure that equitable supports that attend to the needs of students and caregivers in relation to emergency remote learning are implemented.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.370
Teacher spread0.343 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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