Bibliographic record
Abstract
In this article, we reflect on our collaborative practice-as-research piece Project Finding Home, that arose from our experiences of working and living in the UK as ‘non-British’ citizens. Engaging with other refugee and migrant artists over three years, we worked deliberately as co-researchers and co-creators in a non-hierarchical dynamic to produce a series of four films reflecting on how we find home when it is so impacted by government policy, social and cultural integration, and intergenerational relationships. This article focuses on two of these films, one made with the participatory theatre company of Sanctuary, PSYCHEdelight, and one made with conceptual artist, Khaled Barakeh. Through observations of their work, we discuss how their respective uses of comedy (in PSYCHEdelight’s show Mohand and Peter) and visual representation (in Barakeh’s installation On the Ropes) resist singular views of migrant narratives. Additionally, we analyse our creative and ethical processes for making films with them about their work. Discussing how their aesthetics informed our processes for showcasing who they are and what they do as artists to a wider audience, we examine how artistic practice, its documentation, and its dissemination can question dominant aesthetic norms and existing migration and cultural policies in the UK and Europe.
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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 | 0.015 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.020 | 0.045 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".