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Record W4313590302 · doi:10.1177/10538151221142795

Examining the Remote Learning Experiences of Children Born Very Preterm During the COVID-19 Pandemic

2023· article· en· W4313590302 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 Early Intervention · 2023
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of Calgary
FundersResearch Institute, Nationwide Children's HospitalNationwide Children's Hospital
KeywordsPsychologyPandemicCoronavirus disease 2019 (COVID-19)Gestational agePsychological interventionDevelopmental psychologyPediatricsMedicinePregnancyDisease

Abstract

fetched live from OpenAlex

This study examined the remote learning activities children born very preterm (VPT; gestational age ≤ 30 weeks) received, compared with children born full term (FT; gestational age ≥ 37 weeks), during the COVID-19 pandemic. Parents of 5- to 6-year-olds born VPT ( n = 33) and FT ( n = 33) reported on the provision, frequency, and duration of teacher-provided live instruction, educational materials, and homework; and parent-provided educational materials. More kindergarten children born VPT received small group instruction and fewer received large group instruction than FT children. Preschoolers born VPT engaged in parent-provided learning apps, educational videos, and reading activities less frequently or for shorter durations than FT children. Findings suggest that while teachers generally implemented remote learning similarly for children born VPT and FT, parents did not. Children born VPT are at higher risk for educational problems and may benefit from more intensive school- and home-based educational interventions to help offset the impact of school closures.

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)0.001
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 score0.071
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.051
GPT teacher head0.323
Teacher spread0.272 · 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