Bibliographic record
Abstract
The term ‘diaspora’ has evolved in the fields of both art and design, and is often cited in discussions of identity. Existing artistic explorations are reflections on diverse experiences of culture and identification, and express alternative narratives. They challenge the conventional structures of established thoughts and stimulate the need to further augment our understanding. The multiplatform event ‘Diasporic Bodies’ brings together a group of artists from the Department of Visual Arts at Western University, London, Canada, and design researchers from the Body and Space Research Lab at the Swedish School of Textiles, University of Borås, Sweden. The artistic outputs focus on similarities between cultures, explorations of artefacts with connotations of cultural translation involving active processes of identification in terms of how materials and expressions are used to create relational aesthetics, and alternative approaches to modernity. The works, which have been produced by artists and researchers from both Western University and the University of Borås, were exhibited at the Cohen Commons at the Department of Visual Arts at Western University in January 2024, and are accompanied by a catalogue documenting the research and artistic outputs. A series of workshops and talks will be held at Western University in conjunction with the exhibition.
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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.368 | 0.125 |
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".