Welfare Services from a Minority Perspective. Explaining Satisfaction with Language-Based Welfare Services among Swedish-Speaking Finns
Bibliographic record
Abstract
This article explores perceptions of welfare services from the perspective of a linguistic minority, the Finland-Swedes. Since Finland has an extensive universal welfare system and is an officially bilingual country, the relatively small Swedish-speaking numerical minority has equal rights to welfare provision in their mother tongue. This provides an analytically promising case, as expectations toward the Finnish welfare system are high, while delivering quality language-based welfare services to minorities can be challenging. We hypothesize that attitudes regarding language-based welfare service are guided by either rational self-interest, i.e. language skills, or ingroup identity. Our analyses are based on a survey among a random sample of Swedish-speaking Finns in the winter of 2018-2019. We found that the attitudes toward language-based welfare services were guided by both self-interest and identity, but their impact depended on whether respondents were asked about their specific evaluation of, or general desire for, language-based welfare services.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".