Social Influence, Consumer Behavior, and Low-Carbon Energy Transitions
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
Realizing a low-carbon energy future requires pervasive changes in consumer behavior. Here, we examine the role of social influence in transitioning toward new low-carbon products and practices. We review and critique five research perspectives of how social interactions affect the spread of new behaviors through social networks: diffusion of functional information across social groups; conformity to others' behaviors; dissemination by organized, resourceful social groups motivated to promote societal goods; translation of consumers' perceptions between social groups; and reflexivity of individuals' continual search for self-development and expression through lifestyle practices, including their social context and consumption. Each perspective observes different social processes and holds different implications for policies and strategies to achieve low-carbon energy transitions. No single perspective seems adequate to characterize social influence. We conclude with a set of priorities to develop an integrative framework to guide strategy and policy.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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