Bibliographic record
Abstract
Abstract Lloyd C. McCracken grew up in a rural community on Canada's east coast. As a teenager, with the World War II entering its peak, he volunteered for the Royal Canadian Air Force as a tail gunner, a job with extreme hazards. Fifty years later, in 1992, McCracken produced this remembrance of his time in the Air Force - his training, hair-raising sorties over Germany and, especially, two years he spent as a POW in a German prisoners of war camp. This text now includes associated documents and photographs. His story reveals a human phenomenon that we nevertheless fail to understand - our uncanny ability to adjust to the inconceivable. Our ability to hold it, live in it, relay it. As his story recounts, McCracken had plenty of traumatic experiences. Yet, his descriptions of these experiences expose details without registering their effects. For readers, comprehension of the emotional happens elsewhere - above and around the words - in envisioning the effect of these experiences on McCracken and his family. Understanding is only discoverable in the text's resignation, its absences, its restraint.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.009 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".