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Record W4382461745 · doi:10.1080/1350293x.2023.2227370

Shifting play experiences during the COVID-19 pandemic: family responses to pandemic restrictions

2023· article· en· W4382461745 on OpenAlexafffundabout
Jessie‐Lee D. McIsaac, Randi Cummings, Madison MacQuarrie, De‐Lawrence Lamptey, Jane Harley, Melissa D. Rossiter, Magdalena Janus, Joan Turner

Bibliographic record

VenueEuropean Early Childhood Education Research Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsMcMaster UniversityUniversity of Prince Edward IslandMount Saint Vincent University
FundersCanadian Institutes of Health ResearchCanada Research ChairsMount Saint Vincent University
KeywordsPandemicCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PsychologySociologyVirologyMedicineOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Children’s play has shifted within the context of the COVID-19 pandemic, particularly with increased time within the family home. This study responds to the following research questions: How did COVID-19 restrictions influence children’s play within and outside the home? How did parents describe their role in their children’s play during the first year of the COVID-19 pandemic? Canadian Maritime families (n = 30) took part in three telephone interviews during the pandemic (July 2020, November 2020 and April 2021). Data were analyzed using qualitative description and thematic analysis to inductively identify codes and establish themes, including: (1) Facilitating play within the home; (2) Opportunities related to play outside the home; and (3) Shifting play in the outdoor environment. As families adhere to public health directives in response to COVID-19, children’s play experiences were shaped by a movement toward an increased emphasis on the outdoor environment and fewer playmates. Ongoing research is needed to understand the potential impacts on children’s development over time.

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)0.008
metaresearch head score (Gemma)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.139
GPT teacher head0.435
Teacher spread0.296 · 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.

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

Citations4
Published2023
Admission routes3
Has abstractyes

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