DOI:10.1068/d378 Polar bears and energy-efficient lightbulbs: strategies to bring climate change home
Bibliographic record
Abstract
Abstract. Global climate change is the focus of climate politics organized across scales by a range of organizations. These organizations represent climate change in ways they hope will make the problem relevant to people and thereby inspire political action. The strategies require a choice of objects to bring climate change home to constituents. Some objects are `more local ' to certain constituenciesö that is, they are more meaningful. Greenpeace Canada represents the impact of climate change via the object of the hungry polar bear. The Cities for Climate Protection campaign makes climate change relevant, in part, by its focus on the cost-saving benefits of energy efficiency. The process of localizing climate change constitutes society. I use feminist science studies as a theoretical basis to support my argument that organizations localizing climate change might choose objects that are more accountable to their constitutive effects on societies. I point out potential pitfalls in the choice of the polar bear and energy efficiency, and suggest some possibility in these objects.
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.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".