La conciliation travail-famille chez les employés universitaires ayant des enfants de 11 ans et moins dans le contexte de la pandémie de la COVID-19
Bibliographic record
Abstract
Research Framework: Although all Quebec residents have been affected by the COVID-19 pandemic and by the health and social measures put in place since March 2020, working parents have been particularly affected by the various stressors caused by this crisis, in both their family and professional life. In such a context, it seems relevant to examine the consequences of the pandemic on work-family balance, and more specifically on the factors associated with it.Objectives: The purpose of this study is to document the personal, family and work characteristics associated with work-family balance among university employees with children aged 11 or younger in the context of the pandemic.Methodology: The data used for this study were collected between April 24 and June 5, 2020, through an online survey. A total of 217 staff members from ten institutions of the Quebec University Network completed the survey, which included questions related to work-family balance. Multiple linear regressions were used to determine the respective influence of factors associated with the work-family balance.Results: Overall, this study shows that university employees having children aged 11 or younger present a majority of moderate to high work-family conflict in the context of the pandemic. It also highlights some of the factors that may help or hinder work-family balance in this population of parents, namely level of parenting strain, satisfaction with sharing childcare and parenting duties, job category, stability of job performance, and number of young school-aged children.Conclusions: These findings underscore the importance of implementing work and family support programs and respite measures for parents with young school-aged children to help them balance their family and work responsibilities in times of crisis.Contribution: Although some studies have documented factors associated with work-family balance in times of pandemic, they remain few and only one has been conducted in the Quebec context. Work-family balance is likely to be experienced differently in Quebec, which is different from other countries in terms of its family policy. In addition, this study is the first to look at university employees, a group of workers who were among the first to be affected by the school closures in the spring of 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 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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".