The Basel Convention and Ship Decommissioning in the Economically Disadvantaged Nations: Bangladeshi Perspective
Bibliographic record
Abstract
Bangladesh, the largest producer of steel from decommissioned ships, is the most dominant player in the global shipbreaking industry. However, managing hazardous waste generated from ship disposal remains a significant concern for the local and international communities. Bangladesh ratified both the relevant international treaties namely the Hong Kong Convention and the Basel Convention and incorporated their provisions in its domestic system. However, the country's waste management practices particularly at the downstream level are hindered by insufficient enforcement of the national waste policy, fragmented responsibilities for waste operators, generators, and transporters, and lack of technical guidelines and procedures. Using a comparative research methodology and a multimodal decision-making model namely the Analytical Hierarchy Process, this article attempts to single out laws and policies that need to be addressed by Bangladesh to fulfill its mandates under international laws, particularly the Basel Convention and effectively contribute to the sustainability in the global shipbreaking industry.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".