Decisions and decision-makers: Mapping the sociotechnical cognition behind home energy upgrades in the United States
Bibliographic record
Abstract
Home energy upgrade decisions, such as adopting energy efficient equipment/appliances and renewable energy,are embedded within broader decisions and actions for upgrading the home. In this paper, 121 households infour states were interviewed to investigate the cognitive process of decision-making for home upgrades at theintersection of individual self-identites, normative goals of households and their sociotechnical environment. Wefound that home upgrades occur typically as interconnected sets of projects. They are constituted of decisiondilemmas between domestic space-making aspirations and technological choices, moderated by sentiments,opinions of peers, information, limiting factors and self-identities. Indoor upgrades are largely influenced by thefunctional and emotional goals of the household, whereas exterior and structurally complex upgrades are usuallydetermined by parameters of the sociotechnical environment, including costs and available expertise. Behaviorally, functional needs and social situation of individuals are more influential to upgrade decisions thanenvironmental values or ideological positions on decarbonization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".