Making my bed : Tracey Emin's hysterical confessions of the abject
Bibliographic record
Abstract
Tracey Emin's My Bed (1998) presents an alternative representation to normative notions of the body, offending hegemonic propriety so greatly that it caused a tabloid media sensation when it was shortlisted for the 1999 Turner Prize. Emin applies certain feminist notions as she continues the motif of the reclining nude, offering semiotic gestures that indicate evidence of the body rather that the body itself. My Bed is the site of trauma and disgust, with all of the abjection left intact, and above all, a self expressionist piece documenting her personal trauma. The expressionist qualities harkens back to cultural discourse of hysteria, reinforcing the legitimacy of the feminist lens. Hysteria is a performance that Emin represents through confessing her traumatic history. Like the archetypal reality television star, she confesses personal emotions and histories, but breaks the status quo by offering an alternative representation with the abjected authenticity of the bed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".