Bibliographic record
Abstract
"Though we are the most wasteful people in the history of the world, very few of us know what becomes of our waste. In Waste Away, Joshua O. Reno reveals how North Americans have been shaped by their preferred means of disposal: sanitary landfill. Based on the author's fieldwork as a common laborer at a large, transnational landfill on the outskirts of Detroit, the book argues that waste management helps our possessions and dwellings to last by removing the transient materials they shed and sending them elsewhere. Ethnography conducted with waste workers shows how they conceal and contain other people's wastes, all while negotiating the filth of their occupation, holding on to middle-class aspirations, and occasionally scavenging worthwhile stuff from the trash. Waste Away also traces the circumstances that led one community to host two landfills and made Michigan a leading importer of foreign waste. Focusing on local activists opposed to the transnational waste trade with Canada, the book's ethnography analyzes their attempts to politicize the removal of waste out of sight that many take for granted. Documenting these different ways of relating to the management of North American rubbish, Waste Away demonstrates how the landfills we create remake us in turn, often behind our backs and beneath our notice"--Provided by publisher
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 | 0.000 | 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) | 0.000 | 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".