The Association Between Remote Work During the First Wave of the Pandemic and Faculty Perceptions of Their Productivity and Career Trajectory: A Cross Sectional Survey.
Bibliographic record
Abstract
INTRODUCTION: Early in the pandemic, studies documented that there are gendered differences in many factors related to working during the pandemic, especially for caregivers. This study aimed to focus on the effects of remote work, rather than the pandemic in general, on perceptions of productivity and career trajectory in research and education faculty at an academic health center. METHODS: A questionnaire was developed and distributed to all faculty in the Department of Medicine. We obtained demographic information and asked respondents to report the effect that remote work had on their research or teaching productivity. Those who reported a decrease in productivity were asked to choose a degree of impact. We also asked about the level of concern for the effect remote work would have on their career trajectory in research and teaching and about the impact of remote work on academic wellness. RESULTS: We received responses from 51.4% of 479 faculty. A little less than half were females, and most were subspecialists. More than half (60.6%) were responsible for providing care to children, parents, or others. Nearly one-quarter of respondents (22.8%) reported a negative effect of remote work on teaching productivity, which was more pronounced in senior faculty versus junior faculty (28.6% vs 16.5%, P = 0.03). Few faculty (7.4%) were concerned about their career trajectory in teaching; however, those who provided care at home were significantly more likely to be concerned (10.7% vs 2.1%, P = 0.01). Over half of respondents (56.6%) reported a negative effect of remote work on research productivity; this was significantly higher for tenure faculty than clinician educators (71.9% vs 50.7%, P = 0.01). Almost half of respondents (39.6%) were concerned about their career trajectory in research, and this concern was significantly higher in specialists than in generalists (42.9% vs 15.8%, P = 0.02) and in clinician educators versus clinicians (39.7% vs 0.0%, P = 0.007). A small number of faculty (11.5%) reported a negative impact of remote work on their academic wellness; this impact was higher in specialists than in generalists (13.2% vs 3.7%, P = 0.05). There were no significant differences in any areas of concern for males versus females or in those with or without leadership roles. CONCLUSIONS: In this single-center study during the first wave of the pandemic, faculty perceived reduced productivity in teaching, research, and academic wellness. Our study found that remote work concerns were overall more evenly distributed across gender and those responsible for caregiving than had been reported previously; however, caregivers were more concerned about their career trajectory in teaching than noncaregivers. The lack of significant differences may have been due to several factors: remote work allowed flexibility when caregiving arrangements were disrupted; remote work was required of all faculty, mitigating concerns that caregivers were singled out; and institutional support offset some of the challenges. Further studies are needed to determine whether social or operational interventions in academic health centers can reduce the negative perception of remote working on academic productivity.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".