Bibliographic record
Abstract
Through arts-informed research (Cole & Knowles, 2007) I explore visual identity and scholarship. I conversed with and photographed Lisette, Edward, Kris, Todd, William and Theresa, asking "How are your clothing choices determined by your work as a scholar?" The photographs and transcripts inspired drawings, paintings and poetry. The study confirms that clothes are negotiated expressions of self and visual identity with the body as mediator (Braziel & LeBesco, 2001; Butler, 1993; Davis, 1997; Holliday & Hassard 2001; Shilling, 1993); scholars' clothing choices are gendered (Butler, 1999; Kirkham, 1996; Sanders, 1996), and female scholars strategize through dress (Kaiser, Chandler & Hammidi, 2001; Green, 2001). The poems and artworks speak of triumph and pain. They provide opportunities to reflect on arts-informed research, the aesthetics of the clothed body, the body and social theory, and the semiotics of clothing.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".