Bibliographic record
Abstract
This collection covers the family history of Melita Miller. Melita Miller was born in 1926 in Selz, Russia. Her ancesters came from Germany in 1808 to Russia on the invitation of Cartharine the Great of Russia. In 1917 the Communist Revolution started along with the Soviet Regime. Melita?s father Puis was sent to Siberia, they lost their property and forced the children into a Russian Language School. In 1941 German artmy troops invaded Russia, Puis Miller came back, and they got their house and land back. A German Language school opened and Melita was accepted in. In 1944 the German people left, so the Miller family left Selz in covered wagons, staying in Poland for a few months. While in Poland, Puis was sent into the army to West Germany, and Melita?s mother Eva and her two sisters sent to Siberia. After the war, Melita found her father Pius in West Germany. In 1948 relatives in Canada invited to their home. They settled in Regina, Saskatchewan. Later Melita Miller moved to Yakima, Washington, to help an aunt.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.405 | 0.254 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".