Costumed doubles and avatars in Janieta Eyre’s photographic self-portraits
Bibliographic record
Abstract
This article aims at furthering our understanding of costuming in self-portraiture through the analysis of Janieta Eyre’s photographic works. Exploring the fictionalizing potentialities of photography and flouting the conventions of self-portraiture, the Canadian artist stages her multiple doubles in a playful yet introspective way. The studio becomes an experimental huis-clos harbouring fantasy self-explorations. The costumes that she assembles allow for complex dramatizations of the othered self. In these performative self-fictions the costume constitutes a prosthetic device. Her burlesque impersonations address gender identity in a subversive way. Judith Butler’s view of gender as stylized repetition of acts chimes in with Eyre’s use of seriality and endless mises-en-abyme, while Paul Gee’s definition of projective identity as a liminal form of identity—an interface between the real and the virtual self—and other researchers’ exploration of the avatar in game theory shed additional light on Eyre’s use of costuming.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".