Interview study to uncover the energy use impacts and behaviours of teleworkers who relocated during COVID-19 in Canada
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
This study aims to gain insight into the overall impacts of teleworkers’ choices and preferences that have implications for overall energy use. The sample size includes 14 participants, who started teleworking and moved at least 20 kilometres away from their original homes within two years of the beginning of COVID-19. In-depth interviews with teleworkers were focused on their backgrounds, changes in work and domestic routines and behaviours, preferences during teleworking, perception of costs associated with teleworking, and other related changes related to teleworking and related energy use. The results of this study suggest most participants moved to bigger houses with dedicated offices in less accessible neighbourhoods, which prompted more vehicle purchases. Overall, the results show that teleworkers’ attitudes, plans, preferences, and perceptions regarding remote work depend on marital status and household income. The interviews indicated that the overall energy use of participants has increased as a result of these changes.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it