Through the Prescient Eyes of Lucien Jonas: World War I Revisited
Bibliographic record
Abstract
Only recently and on November 11, 2018, French President Emmanuelle Macron hosted sixty poppy-clad world leaders attending the one-hundred year commemoration of World War I, an ignoble war that set the stage for a century beset by the bloodiest wars in recorded history. These dastardly wars continue to plague humanity even into the nascent 21st century.\nAt “the eleventh hour of the eleventh day of the eleventh month” of 1918 the combatants embroiled in World War I, The War to End All Wars, convened to sign the Armistice of Compiègne; Compiègne is a French commune some 82 kilometers north of Paris, France. And on June 28, 1919, the treaty of Versailles was signed, and ever since, the new appellation for this commemoration goes by the moniker Armistice Day Commemoration. Appallingly, The “I am a genius” Donald Trump does not know the difference between a commemoration and a celebration.
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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.024 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.015 | 0.034 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".