The Neoliberal Politics of “Smart”: Electricity Consumption, Household Monitoring, and the Enterprise Form
Bibliographic record
Abstract
This article investigates how digital technologies in the energy sector are enabling increased value extraction in the cycle of capital accumulation through surveillant processes of everyday energy consumption. We offer critical theory (Gramsci, Foucault) and critical political economy (Marx) as a guide for critical understanding of value creation in ICT through quotidian processes and practices of social reproduction. In this regard, the concept of the “prosumer” is extended beyond notions of voluntary participation in Web 2.0 to the political economy of energy use. Within this broad framework we investigate national and local level “smart grid” campaigns and projects. The “smartening” of the energy grid, we find, is both an ideological construct and a technological rationalization for facilitating capital accumulation through data collection, analysis, segmentation of consumers, and variable electricity pricing schemes to standardize social practices within and outside the home. We look at BC Hydro as one illustration of where such practices are being instituted.
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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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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 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".