From “nobody's clapping for us” to “bad moms”: COVID‐19 and the circle of childcare in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The COVID-19 pandemic has highlighted the importance of childcare to national economies in general and women's economic participation in particular, spurring renewed interest in childcare policy in many countries that have implemented lockdowns. This paper adopts a circle of care framework to analyzes how COVID-19 has affected paid childcare, unpaid childcare and other paid work, and the relationship between these sectors. Analysis is grounded in the lived experiences of parents and childcare educators, documented through 16 semi-structured interviews during the initial lockdown (March-June 2020) in British Columbia, Canada. Experiences from educators suggest their safety was not prioritized, and that their contributions were undervalued and went unrecognized. Mothers, who provided the majority of unpaid care, not only lost income due to care demands, but struggled to access necessities, with some reporting increased personal insecurity. Those attempting to work from home also experienced feelings of guilt and distress as they tried to manage the triple burden. Similarities of experiences across the circle of care suggest the COVID-19 childcare policy response in BC Canada downloaded care responsibilities on to women without corresponding recognition or support, causing women to absorb the costs of care work, with potential long-term negative effects on women's careers and well-being, as well as on the resilience of the circle of care. Pandemic recovery and preparedness policies that aim to promote gender equality must consider all sectors of the circle of care and the relationships between them.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it