Why deservingness theory needs qualitative research: Comparing focus group discussions on social welfare in three welfare regimes
Bibliographic record
Abstract
This article argues that the ever-growing research field of welfare deservingness is in need of qualitative research. Using focus group data collected in Denmark, Germany, and the United Kingdom, we show that citizens discussing matters of social welfare make explicit reference not only to the deservingness criteria of control, reciprocity, and need but also to a number of context-related criteria extending beyond the deservingness framework (e.g. equality/universalism). Furthermore, our findings suggest the existence of an institutional logic to welfare preferences, as the focus group participants to a large extent echoed the normative criteria that are most strongly embedded in the institutional structure of their country’s welfare regime. Whereas financial need is the guiding criterion in the “liberal” United Kingdom, reciprocity is dominant in “corporatist-conservative” Germany. In “social-democratic” Denmark, it appears impossible to single out one dominant normative criterion. Instead, the Danish participants seem torn between the criteria of need, reciprocity, and equality/universalism.
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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 | 0.204 | 0.238 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.010 | 0.034 |
| Scholarly communication | 0.010 | 0.023 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.003 | 0.004 |
| 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".