Pacifism and The Science of War: Jane Addams and Bertrand Russell on World War I
Bibliographic record
Abstract
In July 1915, after hearing Jane Addams speak in London on her efforts for peace during wartime, Bertrand Russell wrote to an American friend, “You can gather what I think and feel by talking to Miss Addams. She seemed to me to have exactly the same outlook as I have.” In this paper I compare how Russell and Addams used the era’s scientific theories in formulating their pacifism. After recounting Addams’s and Russell’s experiences during the war, I show how Addams and Russell accounted for civilization’s “descent into barbarism” in parallel ways. I then contrast their conceptions of what counts as progress in civilization, and show how these differences shaped their critiques of war. In the final section I compare how their responses correlated with the forms their activism took during the war.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.041 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.008 | 0.017 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".