COVID-19 IMPACTS: Newcomer and Refugee Mothers in Canada – Final Report
Bibliographic record
Abstract
A growing number of studies have shown that the COVID-19 pandemic has had unequal impacts on the health, well-being and finances of different types of families. Newcomers and refugees, many of whom may face challenging circumstances, may be especially vulnerable as they settle into their new life in Canada. In spring 2021, the Vanier Institute of the Family partnered with Mothers Matter Centre to explore the impacts of COVID-19 on newcomer and refugee mothers enrolled in their programs in the COVID-19 IMPACTS: Newcomer and Refugee Mothers in Canada survey. The Mothers Matter Centre is a national not-for-profit organization that runs support programs serving socially isolated and low socioeconomic status mothers and their families. Conducted from April 13 to May 13, 2021, and with data analysis by the Association for Canadian Studies, the survey findings provide insights into how the pandemic has affected the health and well-being, work and household finances, and relationships of mothers enrolled in Mothers Matter Centre’s Home Instruction for Parents of Preschool Youngsters (HIPPY), Supporting Mothers and Raising Toddlers (SMART) and Bond to Literacy (BTL) programs.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".