Bibliographic record
Abstract
This talk will connect practices of autoethnography, textile research and design practices, in a discussion about the role of embodied research. It will foreground my own positionality as a British-Canadian woman of the Korean diaspora in a decolonial reading of Korean womanhood through patchwork. Initially, we will focus in on the seam – the seam that connects two fragments composing the foundation of a patchwork cloth. Describing how my own experiences as a textile practitioner have shaped the lens of my research, I unpack how the structures of threads, fabric compositions and techniques reveal a rich material world of modernity encroaching upon Korea at the turn of the 20th century. It is from the interstitial space, that both postcolonial and decolonial theorists describe the borderlands of being, and knowing, which are mapped onto my own histories of diasporic belonging. From the material to the personal, this talk will explore both the object studies of my own research, as well as an overview of my pathways as a designer working in luxury fashion to academia.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.037 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| 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".