When political values and perceptions of deservingness collide: Evaluating public support for homelessness investments in Canada
Bibliographic record
Abstract
Citizen attitudes toward welfare state investments are often explained by their ideological values and their perceptions of deservingness of welfare recipients, yet recent experimental research has led to the theorization that clear deservingness cues can overwhelm otherwise strong ideological beliefs. We tested these claims with respect to homelessness in Canada using a vignette survey experiment and found evidence that citizens with very different political beliefs can support similar government investments, indeed from a shared sense of deservingness as suggested by recent experimental studies, but that support is anchored by rather different reasons. Key Practitioner Message: • Citizen support for homelessness investments is jointly mediated by ideology and a sense of the “deservingness” of the beneficiary. • Emphasizing the broader cost savings to taxpayers from “Housing First” does not make conservative‐leaning citizens more supportive of investments. • Emphasizing the personal attributes of persons experiencing homelessness rather than abstract statistics may unite progressives and conservatives on “deservingness”.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".