Bibliographic record
Abstract
Waste is a major global environmental issue that assembles socio-cultural and bio-geological processes in complex indeterminate relationships. Drawing on three case studies, this article explores the shifting environmental politics concerned with waste’s material, economic, political, and cultural ‘management’. The Canadian case studies – determining a new waste management technology in a mid-sized city in central Ontario, an open dump in a remote Nunavut community, and an abandoned gold mine in the Northwest Territories – suggest waste occasions particular material and political mobilizations. Landfill leachate, colonialism, disinterested publics, freezing arsenic, global corporate investments, country food, land claims, neoliberal governance, permafrost, ravens, and a host of other socio-material forces both empower and thwart ‘management’ politics. Through these case studies, this article explores Isabelle Stengers’s assertion that participating citizenship is an ‘Empty Great Idea’, and a provocation to consider the contexts in which waste may generate acquiescent or objecting publics.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.045 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".