Bibliographic record
Abstract
George Reinitz was twelve years old when he and his family were taken from Szikszó, Hungary, and deported to Auschwitz, where many of his family members were killed. As a boy on the brink of adolescence, he experienced the horrors of a Nazi death camp. Following his liberation he returned to his hometown where he remained for a few years before immigrating to Montreal in 1948 as part of the Canadian Jewish Congress’s War Orphans Project. In Wrestling with Life, George Reinitz recounts his vivid memories of childhood and his experiences in one of the worst places humans ever created. He recalls being tattooed with an unclean needle, eating raw potato skins to stave off hunger, watching his father get whipped in the face, and looking after the horses of SS officers. In Auschwitz he learned and used survival skills that he later applied in the commercial realm. George settled in Montreal and became a world-class wrestler, competing internationally and carrying the flag for the Canadian team at the 1957 Maccabiah Games in Israel. After working in a number of jobs he found his calling in the furniture business, eventually founding Jaymar Furniture, a leading manufacturer and a company that still operates successfully in Quebec. Wrestling with Life is a moving account of a child’s survival under the most difficult of circumstances. It tells the story of one man’s hard-won success as a businessman and athlete.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.011 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.035 | 0.013 |
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".