Reframing “Dirty Work”: The Case of Homeless Shelter Workers
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
Drawing on ethnographic research in a homeless shelter, this article examines how caseworkers navigate an occupation that is often physically and morally trying, and at times, objectionable. Given this context, we examine the ways in which caseworkers identify and define “dirty work,” often seen as a source of occupational degradation, according to two main typifications: the physical and the moral. Building on Erving Goffman's frame analysis, we examine the definitional and interactional strategies actors use to transform unpleasant first‐order realities to more valued, meaningful, or workable second order realities, by keying particular frames of meaning. These involve framing dirty work through (1) a professional lens, (2) humanism and egalitarianism, (3) a negotiated interpretation of institutional rules, and (4) the use of humor. We conclude by reflecting on the constructed nature of dirty work, and the importance of framing strategies in the sociology of occupations, suggesting that a more generic application of these ideas may be useful across a number of other social contexts.
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 | 0.000 | 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 it