Bibliographic record
Abstract
"Her story adds to the growing literature related to individual life stories of Holocaust survivors. There is much we can learn from her book." - Benjamin Schlesinger, Professor Emeritus, University of Toronto Until age seven, Olga Barsony Verrall lived an idyllic life in Szarvas, a small town in Hungary, surrounded by her doting, observant Jewish family. After the Nazi invasion in 1944, Olga found herself, along with most of her family, interned in the Auspitz (Hustopece) labour camp. Eventually reunited after the war, the family returned to Szarvas, only to face a different kind of oppression at the hands of the new Communist government. After immigrating to Winnipeg in 1957, Olga met and married Orland Verrall, the cantor at Rosh Pina synagogue. Together they built a new life in Canada and soon welcomed two daughters, Judy and Lesley. Yet Olga continued to be haunted by her past. Though she was very young during her time in the camp, Olga had vivid and painful memories of the horrifying things she had seen and experienced there. A nagging sense of emptiness and anger stayed with her all her life. After her beloved husband Orland passed away, her emotional state became increasingly fragile, and she became dependent on prescription drugs to numb her pain. A long journey of physical and mental healing, along with the support of her family, helped Olga piece her life back together. For Olga, writing her memoir was a catharsis. For her readers, it will be an inspiration.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.455 | 0.244 |
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".