Making waste management public (or falling back to sleep)
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
Human-produced waste is a major environmental concern, with communities considering various waste management practices, such as increased recycling, landfilling, incineration, and waste-to-energy technologies. This article is concerned with how and why publics assemble around waste management issues. In particular, we explore Noortje Marres and Bruno Latour's theory that publics do not exist prior to issues but rather assemble around objects, and through these assemblages, objects become matters of concern that sometimes become political. The article addresses this theory of making things public through a study of a small city in Ontario, Canada, whose landfill is closed and waste diversion options are saturated, and that faces unsustainable costs in shipping its waste to the United States, China, and other regions. The city's officials are undertaking a cost-benefit assessment to determine the efficacy of siting a new landfill or other waste management facility. We are interested in emphasizing the complexity of making (or not making) landfills public, by exploring an object in action, where members of the public may or may not assemble, waste may or may not be made into an issue, and waste is sufficiently routinized that it is not typically transformed from an object to an issue. We hope to demonstrate Latour's third and fifth senses of politics best account for waste management's trajectory as a persistent yet inconsistent matter of public concern.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it