Perceptions of Pressures to Alter or Misrepresent Time Allocation Among Clinician–Researchers With NIH Career Development Awards
Bibliographic record
Abstract
PURPOSE: National Institutes of Health career development (K) awards mandate specific allocations of effort to research and training. The authors sought to understand pressures perceived by award recipients to change or misrepresent effort, and whether these perceptions differed by gender. METHOD: In 2010-2011 and 2014, the authors surveyed K08 and K23 award recipients. Questions evaluated perceived pressure to change or misrepresent time allocation. Multivariable logistic regression modeling of pressure to misrepresent effort evaluated associations with individual and basic job characteristics. RESULTS: Of the 1,719 faculty in the initial target population, 493 women and 573 men (1,066, 62%) responded at both time points. Most respondents reported feeling pressure to increase time spent on professional activities other than their K award-related research or career development or to decrease time on their K award-related research. The likelihood of perceiving pressure differed significantly by gender: 68% of women vs 55% of men (P < .001). A minority reported perceiving pressure to misrepresent professional time (women, 29%, vs men, 27%, P = .52). Multivariable analysis revealed that pressure to misrepresent professional time was less likely among respondents at institutions with the most extramural funding (P = .02). A significant pairwise interaction between gender and K award type suggested that female K08 awardees had higher odds than male peers of perceiving pressure to misrepresent time. CONCLUSIONS: Most K award recipients reported feeling pressure to do more non-K award-related activities. More than a quarter reported feeling pressure to misrepresent effort. Additional research is needed to evaluate the proportion of academic medical faculty who actually misrepresent professional effort.
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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 | 0.012 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".