A Qualitative Study of Pandemic-Induced Telework: Federal Workers Thrive, Working Parents Struggle
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
This study examines the forced transition to telework during the COVID-19 pandemic using qualitative data from two open surveys administered by the Federal News Network in 2020: in the first two months and, then, 10 months into the pandemic. We provide in-depth analysis of 1,969 open-ended comments from 1,589 federal employees collected seven months apart, telling the story of how they continued performing their responsibilities under a full-time telework schedule. Federal employees perceive the transition to full-time telework during the pandemic had a positive effect on organizational performance, work productivity and work-life balance for most federal employees. An exception is working parents, who faced significant hardships due to the pandemic. Additionally, results show pandemic-induced telework was credited with mixed successes for job satisfaction and social integration, and had not been successful in terms of supervisor support and organizational trust, which puts the success of the social contract theory in these situations in jeopardy. Finally, results suggest that federal employees envision more work will become telework-eligible in the new normal and welcome this shift.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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