The COVID-19 Pandemic: Global Impacts on Families
Bibliographic record
Abstract
Research Framework : The COVID-19 pandemic and the restrictive measures issued, such as physical distancing and lockdown, have affected social and family ties. These constraints have forced people to reexamine their family and conjugal relationship, the management of family and professional time, their intergenerational connections, and life transitions. Either exacerbating the tensions on conjugal and family life or strengthening these links, this pandemic has also provided an opportunity to explore on new strategies for living together. Objectives : This article offers an overview of the effects and consequences of the COVID-19 pandemic on families and their members. Methodology : This article is based on a literature review from various social science disciplines. Results : Partial insights were provided on the following questions: What effects did the pandemic have on families and family members? How did families manage the pandemic’s economic consequences? What were the repercussions of health measures that were put in place to counter the spread of COVID-19 on couples, children, intergenerational relationships, and mental health? How were mortuary rites and mourning processes affected? Conclusion : This article contributes, beyond the individual and social hardships resulting from COVID-19, to show familial – generational and community – solidarity and resiliency that have emerged, as well as the ways in which families and their members have coped and organized themselves during the pandemic. Contribution: Throughout history, societies have been confronted with epidemics that have affected all spheres of life. The COVID-19 pandemic has once again highlighted the importance, fragility and strength of the social and family ties, along with the challenges of living together.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".