Yours, mine, and ours. Migrant Research Project: A partnership project with Queen's University Belfast and Lisburn Museum
Bibliographic record
Abstract
Yours, Mine, and Ours (YMO) is a research partnership project between Dr Collette Brownlee, Education Services Officer, Irish Linen Centre and Lisburn Museum and Dr Aisling O’Boyle, Director (SFHEA) Centre for Language Education Research, School of Social Sciences, Education and Social Work at Queen’s University Belfast, with the support of Prof Olwen Purdue, Centre of Public History, and Prof Tony Gallagher, Centre of Shared Education. This partnership was awarded a research grant in June 2023 as part of the UKRI funded Centre for Cultural Value’s “Collaborate” Fund, which supports innovative partnerships between cultural sector practitioners and academics to explore under-explored questions around cultural value. Lisburn Museum and the Yours, Mine, and Ours Project was selected as one of the five funded projects from over 200 applications across from the UK. The aims of the YMO project were to establish sustainable collaborative relationships with local migrant communities to explore cultural inclusion, belonging and placemaking; to support non-user migrant communities in the Lisburn and Castlereagh area to become involved in their local museum. The creative aspects of the YMO project involved groups of people coming together in the museum to create their own artefacts. Providing an authentic welcome and bespoke programme was integral to encouraging a sense of wellbeing, addressed feelings of isolation and exclusion and examined views on placemaking. As with other Lisburn Museum social engagement projects Yours, Mine and Ours, used a shared authority approach to museum-based experiences, the topic of Collette Brownlee’s doctoral thesis (2020). As part of the academic partnership, the YMO project was designed as a seedbed for the development of an Impact Toolkit for the local museum sector, with a design that could be easily adapted for museums across NI and beyond.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.047 | 0.006 |
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".