Middle-class parental engagement in pandemic times: developing strategies and mobilizing capitals
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".