Bibliographic record
Abstract
The Battle of Vimy Ridge is almost exclusively considered a land battle where aircraft played minor roles in scouting and counter-battery work. Meanwhile, a parallel but separate air battle known as “Bloody April” was waged overhead where German pilots enjoyed significant technical and geographic advantages over their opponents resulting in very high losses for the British and French flying services. In reality, the ground and air battles were inextricably linked. The Royal Flying Corps under Major-General Hugh Trenchard made great strides towards the development of a modern air campaign. Prior to the battle, aerial reconnaissance provided crucial information for planning the battle, bombing raids were staged to interdict the battlefield, and attempts were made to blind the Germans by destroying their kite balloons. During the battle itself, contact flights ranged over the battlefield to provide communications from the front, continuous artillery patrols were flown which helped to direct artillery fire, and bombing missions were conducted against German targets in the communications zone. This was in addition to the fight for air superiority taking place over the battlefield. The RFC made a significant contribution to the outcome of the Battle of Arras though ultimately, there were major problems with this nascent air campaign. Nevertheless, it was an integral step in the development of air power in the First World War.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".