Workstation characteristics and environmental satisfaction in open-plan offices: COPE field findings
Bibliographic record
Abstract
Open-plan offices are notorious for their unpopularity with occupants, but remain popular with organizations because of their flexibility and apparent cost-effectiveness. As part of NRC's Cost-effective Open-Plan Environments project, a field study of 779 workstations in 9 buildings was conducted to examine the relationships between measured physical conditions and occupant satisfaction with those conditions. (Two presentations at CPA 2002 reported on a subset of these data.). Hierarchical multiple regression analyses controlled for age, job type, and gender first; then examined the effects of workstation characteristics on five aspects of satisfaction: satisfaction with privacy and acoustics; satisfaction with lighting; satisfaction with ventilation; overall environmental satisfaction, and job satisfaction. As predicted, increasing workstation size improved satisfaction with privacy. Having access to a window strongly improved satisfaction with lighting. Lower partition heights were associated with higher overall environmental satisfaction and higher job satisfaction. This finding is contrary to previous research and common sense, particularly with respect to privacy; however, it might reflect the desire for better daylight penetration, which lower partitions afford, and the perception that lower partitions improve ventilation.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".