Bibliographic record
Abstract
Devin died five years ago. She got an infection, lost her arm, and died. How can Devin be in a picture posted online today? This picture of Devin, alive when she should not be alive, triggers of a journey of grief and discovery as the young woman convinced that she caused Devin's death sets out to discover whether Devin may actually be alive, and whether she can be forgiven. Along the way she steals identities, picking up and discarding the people she may or may not be as she struggles with her guilt, and to come to terms with her own bisexuality. As her sense of self unravels, she meets Calgary hippies, a car thief, and an ice cream loving corpse. Disappearing in Reverse is a mystery, a road novel, and a coming of age story. Blending past and present, the self and the other, it crosses genres and defies categorization to be met and addressed on its own terms. Fearless and vulnerable, unabashed and wounded, this is a story of the liminal places where expectations falter and the unexpected thrives.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".