Bibliographic record
Abstract
163256: A Memoir of Resistance is Michael Englishman’s astonishing story of courage, resourcefulness, and moral fibre as a Dutch Jew during World War II and its aftermath, from the Nazi occupation of Holland in 1940, through his incarceration in numerous death and labour camps, to his eventual liberation by Allied soldiers in 1945 and his emigration to Canada. Surviving by his wits, Englishman escaped death time and again, committing daring acts of bravery to do what he thought was right—helping other prisoners escape and actively participating in the underground resistance. A man who refused to surrender his spirit despite the loss of his wife and his entire family to the Nazis, Englishman kept a promise he had made to a friend, and sought his friend’s children after the war. With the children’s mother, he made a new life in Canada, where he continued his resistance, tracking neo-Nazi cells and infiltrating their headquarters to destroy their files. Until his death in August 2007, Englishman remained active, speaking out against racism and hatred in seminars for young people. His gripping story should be widely read and will be of interest to scholars of auto/biography, World War II history, and the Holocaust.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.153 | 0.084 |
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".