Social movements in the context of crisis: waste picker organizations as collaborative public partners in the context of the COVID-19 pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social movements are purposeful, organized groups of people addressing the creation and reproduction of inequality, rights and access issues, seeking to transform sectoral policies. In the context of the COVID-19 pandemic, social movements have been acting in articulation with government and private companies and through other actions formulated within their networks, as service deliverers to the poor and vulnerable populations most heavily affected, often filling a gap created by unfulfilled policies. Our research with waste picker organizations in Brazil illustrates how their struggle for recognition has taken action in this context. Academic and government documents, social media and online material (blogs, posts, websites, etc.) and virtual meetings inform this research. We found that multiple actors have contributed to mitigate the urgent needs of waste pickers during the pandemic, but that at the same time, pre-existing challenges in waste management and the lack of wide-ranging social and economic inclusion have been further intensified.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it