Bibliographic record
Abstract
In June 2020, the Vanier Institute prepared the report Families “Safe at Home”: The COVID-19 Pandemic and Parenting in Canada for the UN Expert Group Meeting Families in Development: Focus on Modalities for IYF+30, Parenting Education and the Impact of COVID-19. Now available in English and French, this report highlights family experiences, connections and well-being during COVID-19, as well as the current resources, policies, programs and initiatives in place to support families and family life. Families “Safe at Home” details federal, provincial and territorial resources created to offset, mitigate or alleviate the financial impact that the COVID-19 pandemic has had on families. In addition to government responses, a summary is provided of the diverse range of available services that support families from pre-parenthood to adolescence and that serve parents across Canada, including those who belong to Indigenous, 2SITLGBQ+ and newcomer communities. The Expert Group Meeting was organized by the Division for Inclusive Social Development (DISD) of the UN Department of Economic and Social affairs (UN DESA), where experts from diverse fields from around the world connected virtually to discuss COVID-19 impacts, assess progress and emerging issues related to parenting and education, and plan for upcoming observances of the 30th anniversary of the International Year of the Family (IYF).
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".