Bibliographic record
Abstract
What is memory, and where is it stored in the body? Can a room be symbolic of a lifetime? Memories are like layers of your skin or layers of paint on a canvas. In The Queen of Peace Room , Magie Dominic peels away these layers as she explores her life, that of a Newfoundlander turned New Yorker, an artist and a writer — and frees herself from the memories of her violent past. On an eight-day retreat with Catholic nuns in a remote location safe from the outside world, she exposes, and captures, fifty years of violent memories and weaves them into a tapestry of unforgettable images. The room she inhabits while there is called The Queen of Peace Room; it becomes, for her, a room of sanctuary. She examines Newfoundland in the 1940s and 1950s and New York in the 1960s; her confrontations with violence, incest, and rape; the devastating loss of friends to AIDS; and the relationship between life and art. These memories she finds stored alongside memories of nature’s images of trees pulling themselves up from their roots and fleeing the forest; storms and ley lines, and skies bursting with star-like eyes. In The Queen of Peace Room , from a very personal perspective, Magie Dominic explores violence against women in the second half of the twentieth century, and in doing so unearths the memory of a generation. In eight days, she captures half a century.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.284 | 0.053 |
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".