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Record W4389569548 · doi:10.1080/21565503.2023.2286389

Material circumstances and pandemic-related education choices: parental schooling decisions during the COVID-19 pandemic in four Canadian provinces

2023· article· en· W4389569548 on OpenAlexafffundabout
Salar Asadolahi, Adrienne Davidson, Linda A. White

Bibliographic record

VenuePolitics Groups and Identities · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsMcMaster UniversityUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocioeconomic statusPandemicCoronavirus disease 2019 (COVID-19)Political scienceEconomic growthGeographySocioeconomicsSociologyMedicineDemographyPopulationEconomics

Abstract

fetched live from OpenAlex

Parents have faced difficult decisions regarding their children’s educational plans throughout the COVID-19 pandemic. Drawing on the findings of an original survey of parents from four Canadian provinces (British Columbia, Alberta, Ontario, and Quebec), this paper examines the influence of parents’ material circumstances on decision-making around schooling in September 2020 and June 2021. Our findings suggest that both income and material security played important roles in parent’s decisions to enroll their children in remote/in-person education and public/non-public education throughout the 2020–2021 school year, although there are noteworthy differences between the September 2020 and June 2021 periods. These findings have important implications both for the emerging cross-national research that examines the ways in which the COVID-19 pandemic has exacerbated socioeconomic divisions when it comes to school choice, but also for the broader comparative literature on rising levels of educational stratification along socioeconomic lines and the effects of such stratification.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

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 studies0.0020.000
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 head0.070
GPT teacher head0.355
Teacher spread0.284 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

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