Bibliographic record
Abstract
The article describes the capture of Mszczonów by soldiers of the 31st Kaniowski Rifle Regiment on 11 September 1939. At that time, the regiment fought in isolation from its own 10th Infantry Division and retreated independently towards the Vistula. The battle fought by the regiment was one of the greatest successes of its soldiers during the September campaign of 1939, although for many years it remained in the shadow of the parallel battle on the Bzura River. Only in recent years the memory of this somewhat forgotten victory has begun to be restored. The capture of Mszczonów by the units of the 31st Kaniowski Rifle Regiment brought glory to the regiment. His actions led, albeit for a short time, to panic in the command of the German XVI Army Corps, which was not aware of the forces that took part in the fight. The soldiers of Lieutenant Colonel Wincenty Wnuk achieved a tactical success which – although it did not bring any operational benefits – nevertheless raised the declining morale. It should be emphasized that for this victory the regiment was awarded the Virtuti Militari V class in 1966.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".