Beyond Disposable Social Work and Towards Ecosocial Work
Bibliographic record
Abstract
This study is an inquiry into the role of social work in responding to the vulnerability of poor older adults living in jjokbang-chon, a neighborhood with a high concentration of informal housing in Seoul, South Korea, to extreme weather disasters. The findings presented in this research are derived from a year-long ethnographic study. The fieldwork consisted of living in the community, carrying out participant observations through working with social work-related agencies, and conducting interviews with community members. The findings showed that the government-funded social work agency is mainly rooted in charitable material aid, or what we call disposable social work, and is not only wasteful in terms of the environment but also disposable in the sense that rather than addressing the fundamental problems, it is a short-term reactionary response whose effects quickly fade away. We highlight the work by the local grassroots group as an example of ecosocial work practice, which is more inclusive of the community members by providing opportunities for political participation and decision-making, The findings illuminate the role of ecosocial work in addressing climate change-related disasters in marginalized communities that empower marginalized individuals and communities.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.040 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".