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Record W4390104152 · doi:10.1080/01425692.2023.2294687

Middle-class parental engagement in pandemic times: developing strategies and mobilizing capitals

2023· article· en· W4390104152 on OpenAlexaffabout
Max Antony‐Newman, Sarfaroz Niyozov, K. Pashchenko

Bibliographic record

VenueBritish Journal of Sociology of Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMiddle classPrivilege (computing)PandemicSocial classInequalitySociologyCultural capitalIsolation (microbiology)Class (philosophy)Social isolationCoronavirus disease 2019 (COVID-19)PsychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Despite the rhetoric of ‘we are all in this together’ during the COVID-19 pandemic, not all families experienced schooling disruption in 2020–2022 equally. middle-class parents typically enjoy significant advantage over parents in working-class occupations. To illuminate class-based differences in parental engagement during the COVID-19 pandemic, here we present data from interviews with 15 middle-class Canadian parents. We found that middle-class parents successfully mobilized their economic, social, and cultural capital to manage challenges they faced: lack of structure and routine, lack of communication with the school, perceived low quality of instruction and resources, student isolation during online learning, and parental stress about children’s schooling during the pandemic. The main implication of the study is that although middle-class parents in the study acknowledged their privilege more compared to prior research on middle-class parental engagement, ultimately, their individual solutions to pandemic challenges merely exacerbated existing social inequalities in education.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.115
GPT teacher head0.384
Teacher spread0.269 · 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 designQualitative
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

Citations7
Published2023
Admission routes2
Has abstractyes

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