Faculty Workload in a Research Intensive University: A Case Study
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
The literature on faculty workload reports differences in worked weekly hours and in the distribution of total time allocated to teaching, research, and service. Some differences are also reported concerning faculty workload by gender, academic rank, and disciplinary sectors. This study analyzes self-reported faculty workload in a Canadian research intensive university. It introduces a new way of measuring time on task by calculating it in a typical most loaded month an in a typical less loaded month. Results show an average weekly workload of 56.97 hours of which 44.1% is allocated to teaching, 35.2% to research, 5.8% to administrative tasks and 14.8% to service. There are few differences in faculty workload by gender, academic rank, and disciplinary sectors. Overall, self-reported faculty workload has increased in the last decade partly because of electronic communications and procedures and on-line pedagogical activities.
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 | 0.009 | 0.007 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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