Bibliographic record
Abstract
The Covid-19 pandemic, has emphasised the need to consider the interconnectedness of our planet, and the importance of highlighting new, and previously underrepresented perspectives on global waste management issues. The new corner, “Info from the global world” wants to collect thoughts and impressions from different parts of the world, with the aim of contributing to a more innovative and inclusive waste management studies discourse. The column will promote cultural intersections on issues affecting circular waste management, environmental protection and human health. We will highlight contributions from diverse expert authors who discuss, among a number of topics, how gender inequality and environmental racism can be combated through truly sustainable waste management and how the circular economy and Sustainable Developing Goals can contribute to combating poverty and mitigating waste inequalities. The second issue of the Column features the work of Dare Sholanke and Jutta Guterblet of the University of Victoria, Canada. Their discussion centres the lives and livelihoods of informal recyclers in Western Canada- a topic which has traditionally been contextualised within Global South settings. Sholanke and Guterblet’s reflection is both empirically interesting, as they provide a vivid snapshot of the quotidian vulnerabilities of this group, but also conceptually valuable, as the theoretical framework they utilise could be readily adapted for scholarly use within other contexts. Their conclusions challenge the inclusivity of local waste management systems for informal recyclers, and the further recommendations that continue to come out of this project should be of great international interest.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.243 | 0.075 |
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".