Experiences of Albertan Families with Young Children during the COVID-19 Pandemic: Descriptive Report
Bibliographic record
Abstract
This report describes data collected from Albertan families on the COVID-19 Impact Survey implemented in May 2020, which built on a unique collaboration across two longitudinal cohorts in Alberta: The All Our Families study (AOF) and the Alberta Pregnancy Outcomes and Nutrition study (APrON). Our objectives were as follows: (1) Describe household infections of COVID-19 in Alberta among families with school-aged children; (2) Describe urban Albertan family experiences of the pandemic within the first 3-4 months of the outbreak across the areas of financial impact, maternal mental health and well-being, school and daily life, and relationships in the home; and (3) Describe associations among key predictor variables (e.g., financial impact) and outcomes (e.g., maternal anxiety, concern for child’s well-being). Study Sample: AOF and APrON Cohort participants reflect families parenting at least one child in between the ages of 8 and 12. While the respondents represent a broad range of income, education and ethnicity, they are typified by adequate income, food and housing security and partnered marital status. Highlighted Results: Physical Impact: At the time of data collection in May, 2020, over 90% of families did not have personal experience with COVID-19, either through personal infection, infection of a child, extended family member or close friend. Vaccine Intentions: Although over 60% of mothers and their children would obtain a COVID-19 vaccine when available, almost 30% are undecided and 8% would not obtain a vaccine. Financial Impact: In 58% of all families, at least one parent experienced job loss, loss of main income source, or reduced employment hours. One in five mothers reported difficulty meeting financial needs for the household, and 5% of families were experiencing food insecurity. Over 40% of respondents reported at least some impact on their ability to meet financial obligations. Mental Health and Wellness Impact: Mothers reported elevated levels of stress (21%), anxiety (25%) and depression (35%). Approximately 26% of mothers reported having limited coping skills. Almost 90% of mothers have undertaken more domestic tasks in the home. Mothers also reported that their children showed increased sadness and behavioural challenges. The COVID-19 pandemic has had profound financial and mental health impact on some families. Investment in strategies to alleviate financial stress, provide parenting supports, and alleviate mental health concerns is critical. Suggested Citation: McDonald S, Edwards S, Hetherington E, Racine N, Mueller M, McArthur BA, Madigan S, Dewey D, Geisbrecht G, Letourneau N, Tough S. Experiences of Albertan Families with Young Children during the COVID-19 Pandemic: A Descriptive Report. Calgary, Alberta: University of Calgary; 2020.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".