Active offices: Changing workplace culture by "breaking up the day"
Bibliographic record
Abstract
The average adult is sedentary between 55 and 71% (9 to 11 hours) of their waking day, many of these in the workplace. Recent research into healthy lifestyles has shifted from measuring time spent in physical activity, to time spent in sedentary behaviours. Independent of regular physical activity, sedentary behaviour contributes to major negative health outcomes, namely obesity, diabetes, cardiovascular disease, cancer, and depression, in addition to reduced workplace productivity and increased absenteeism due to illness. In collaboration with Vivo for Healthier Generations, a community recreation centre in Calgary, Alberta, we performed a pilot project that aimed to reduce sedentary behaviour through feasible and sustainable changes in workplace practice. With the support of their employer, volunteers had their offices retrofitted with sit-stand desks and anti-fatigue mats for a six-month workplace intervention. To complement the workstations, participants were offered motivational support and created individual action plans to personalize their movement goals. Participants in the study were provided workshops, newsletters, and other positive social prompts designed to embed standing and walking into a daily office routine. A mixed-methods approach was used in this six-month pilot study to fully explore the objective measures and the story of the participants.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".