Heritage With No Fixed Abode: Transforming Cultural Heritage for Migrant Communities in Inner-City Leeds
Bibliographic record
Abstract
This paper reports on the second phase of the AHRC-funded Translation and Translanguaging (TLang) project, on the theme of Heritage. The Key Participant for the Heritage theme in Leeds is Monika, a young Slovak Roma woman living and working in inner-city Leeds. Monika and her brother Ivan each aspire to setting up cultural spaces for the Roma people in their area. The activities they hope to initiate will safeguard and transmit to others that which is important to them – their heritage – including music, food, dance. As yet, there is no such space for the Roma in Leeds, and in this respect they are attempting to make something happen where there is currently nothing. We follow Monika in particular, as she attempts to bring her ideas into being. With the support of others, Monika tries to transform her available cultural capital into something that will preserve and consolidate heritage but will also earn her a living. This she does by starting to set up a social enterprise. Among other activities this entails the completion of a business plan. We follow her as the plan moves through stages of transformation, and in the process see her dreams and aspirations become both tangible and at the same time constrained. In the later parts of the paper we examine familiar tokens of cultural heritage, food and music, that play a part in the daily lives of Monika and her family, but which (in the case of food) Ivan is attempting to transform from cultural to economic capital, to make something that provides a living.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".