Bibliographic record
Abstract
La contribucion de Canada al esfuerzo aliado fue verdaderamente sorprendente. Al final de la guerra, un pais de 11 000 000 de habitantes habia movilizado a mas de 1 000 000 de soldados, entre los que se incluian 50 000 mujeres y un 41,5 % de la poblacion masculina entre los dieciocho y cuarenta y cinco anos. De estos, el 85 % eran voluntarios. Se distribuyeron entre el Ejercito de Tierra, que fue el que desplego el mayor numero de efectivos, mas de 700 000, la Fuerza Aerea, con otros 222 501, y la Royal Canadian Navy, con otros 99 407. La primera batalla de relevancia en la que participaron tuvo lugar en agosto de 1942, cuando un escuadron naval de 237 buques y lanchas de desembarco, asi como 16 dragaminas, alcanzo la costa de Francia a la altura de Dieppe con mas de 6000 efectivos. El asalto se confio a batallones de infanteria que, tras dos meses de entrenamiento intensivo, habian sido imbuidos en un espiritu muy agresivo. Para superar las trincheras alemanas emplearian una combinacion de tacticas de comando, una moral muy elevada y el factor sorpresa. Ademas, como iban a carecer de artilleria, los soldados de esta arma que desembarcaron habian sido entrenados para emplear las piezas que pudieran capturar al enemigo.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.039 | 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".