Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
What was the first museum you remember visiting? I was born in September 1942 during the war. My parents came from Poland. Three weeks after I was born, 6,500 Jews from my father’s hometown, Opatów (Apt, in Yiddish), 65% of the population, disappeared overnight. All but 500 were sent to the Treblinka death camp, and the rest to a forced labour camp. So I grew up in an immigrant neighbourhood in the immediate postwar years. I went through an ultra-Orthodox period (my parents were horrified). I became not only strictly kosher, but also I observed the Sabbath very strictly. That meant I could not ride, spend money, turn on the radio, write, tear paper . . . I could do almost nothing. Except . . . I could walk to the Royal Ontario Museum. . . . and I did. So this was before the era of helicopter parents. At the age of 10, 11, 12 years old, I would walk out of my house, through Queen’s Park, to the ROM, and that was my beloved childhood museum.
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.
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) | 0.011 | 0.002 |
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 it