Solar energy, bad weather days, and the temporalities of slower homes
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
Solar energy harnessed through photovoltaic panels powers the greatest majority of the domestic electricity needs of off-grid homes. Solar energy can be rather easily stored in batteries; however, the cost of battery banks and the need to limit draining these batteries to increase their life, means that solar-powered home dwellers need to carefully monitor their energy consumption and reduce electricity use when solar energy becomes scarce. So what happens during fall and winter months when cloudy skies and long dark days make solar energy scarce? Drawing from ethnographic research with Canadian off-grid homeowners, this paper examines the everyday ways in which off-gridders adapt to seasonal darkness. Ethnographic data show how people’s diurnal and seasonal rhythms change in accordance with available sunlight and therefore more broadly how people’s relationships with place are shaped by changing temporalities of light and darkness. Focusing in particular on the alternative domestic technologies off-gridders use to reduce wattage consumption (e.g. LED televisions, DC lights, non-use of heat-producing appliances, use of manually-operated tools) and juxtaposing their lifestyles with domestic practices of the past this paper argues that off-gridders challenge the speed, light, and power assemblages of modernity, by cultivating slower rhythms and power self-sufficiency.
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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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