Bibliographic record
Abstract
How can arts-based methodologies offer unique insights into contemporary migration and settlement experiences? Informed by qualitative research and a literature review which analyzes identity theory, social construction theory, and Canadian art organizations which support newcomer artists, this paper explores the potential for the intersection of the arts in immigration and settlement assessment. An exploratory investigation of the theory of art as linked to migration is illuminated by the experiences of a group of artists who have gone through a significant migratory experience and share their reflections on being artists in Canada. This paper argues that analyzing art created by immigrant artists offers insight into the contemporary Canadian immigration experience which quantitative data is unable to capture. Learning about the barriers which immigrant artists face through using arts-based research includes the subject in the research, thereby empowering and validating their lived experiences as valuable epistemologies and ontologies. Findings reveal the impact of acculturation on the identities of and opportunities available to immigrant artists in Canada. Key Words: Immigrant Art; Immigration and Toronto; Place-making; Acculturation; Hybridity; Identity
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.047 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".