Bibliographic record
Abstract
In talking to Polish war veterans after the meetings of the Polish Combatants Association (PCA), Chapter #13, in Winnipeg, and listening to their stories in the association's club, I was struck by the richness of experience in their oft-repeated recollections of the Second World War.Those experiences had burnt deeply into their memories and played an important role in their lives.Personal and idiosyncratic as they were, they also contained a wealth of information, shedding unique light on the historical events in which the veterans had participated.The thought that, with the veterans' passing, all that information would also pass into oblivion weighed heavily on my mind.Finally, after some discussions with Tadeusz Gardziejewski, then president of the PCA, a plan was hatched to put together a volume of the veterans' memoirs and preserve them for posterity.In 1986 we began a series of evening meetings with individual veterans, mainly in my home.We sat in front of a video camera and talked in Polish about the old days.Tadeusz Gardziejewski usually assumed the responsibilities of a host, initiating and maintaining the conversations.After a few minutes, the presence of the camera was completely forgotten, and our guests continued their personal narratives freely and unimpeded.On several occasions, however, I conducted the interviews alone or assisted by my wife, Jozefa Patalas, and, in a few instances, by Lech Fulmyk or Antoni Tomszak.Our guests were the combatants from the PCA, Chapter #13, who came to Winnipeg along various war-swept paths.It was impossible to
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.618 | 0.410 |
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".