Bibliographic record
Abstract
The B asel C onvention (the C onvention) is a key piece of law governing the international waste trade. The spirit of the C onvention is to prohibit the dumping of hazardous waste from ‘developed’ countries to ‘developing’ countries. Yet, a careful consideration of the C onvention suggests a problematic geographical imaginary at work in it. It imagines a bi‐modal world comprised of what it calls A nnex VII countries ( O rganization for E conomic C ooperation and D evelopment ( OECD ), the E uropean C ommunity ( EC ) and L ichtenstein) and non‐ A nnex VII countries (all other signatories) and seeks to prohibit the shipment of hazardous waste from the former to the latter. In effect, what this geographical imaginary attempts to institute is a world of trade in which all non‐ A nnex VII territories are equally vulnerable to hazardous waste dumping from A nnex VII territories, but not vulnerable to such dumping amongst themselves. Yet, the non‐ A nnex VII grouping contains a hugely diverse set of countries, including the two largest non‐ A nnex VII economies, C hina and I ndia. Drawing on textual analysis of C onvention documents and trade data available for C hina and India, the paper engages with recent research into the growing role of ‘ S outh– S outh’ trade to critically engage with the geographical imaginary of the B asel C onvention. It suggests that as the global patterns of hazardous waste trade shift, the relevance of the B asel C onvention's geographical imaginary declines.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.017 | 0.016 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.038 | 0.008 |
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".