Homeless Jesus: Exploring a Relationship between Public Religious Art and Public Dialogues on Homelessness
Bibliographic record
Abstract
Public art with religious themes or inspiration often represents, promotes, or challenges the concerns, values, characteristics, and/or history of the community in which this art is situated. This dissertation explores the contribution of public religious art to generating dialogue about social issues, in particular homelessness. It builds on scholarship indicating that publicly engaged art is a catalyst for promoting mutual understanding among diverse stakeholders with differing worldviews and joins an ongoing scholarly debate about the place of religion in a secular democratic society. As a case study, I use Timothy Schmalz’s bronze sculpture entitled Homeless Jesus, as an example of public art intended to generate public awareness about social marginalization and homelessness. Situated within the critical paradigm, this dissertation uses a case study methodology to explore the ways faith-based organizations and secular media elicit and use meanings through the representation of sculpture in public and mediated spaces. To gain multiple vantage points for examining the meanings and uses of Homeless Jesus, this case study draws on interviews with faith leaders at organizations who have a replica or are located near the replica in Hamilton, Ontario (n=12), online news articles that reference it (n=85), and photos of replicas in six urban locations. Data analysis proceeded through three stages: an iconography, a narrative inquiry, and a thematic analysis. This case study culminates in insights on the relationship between public religious art and public dialogues on social issues, such as homelessness. Findings indicate that public religious art is a mode in which faith-based organizations seek to contribute to public dialogues about social issues in a manner that is accessible and acceptable to those with differing worldviews.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.020 | 0.037 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 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".