Creating the “International Mind”: The League of Nations Attempts to Reform History Teaching, 1920–1939
Bibliographic record
Abstract
After the First World War, the League of Nations, through its International Committee on Intellectual Cooperation, attempted to reshape the teaching of history in its member states. The League's supporters realized that its long-term success depended in part on supportive public opinion and that this, in turn, had implications for education. Aware of the strength of national loyalties, the League sought not to abolish the teaching of national history but to suffuse it with the spirit of the “international mind.” To this end, the League promoted revision of history textbooks and curricula, retraining of teachers, and rethinking of teaching methods. National governments responded by including some study of the League in history curricula but ignored the League's broader plans. Nonetheless, the League's attempt to internationalize the teaching of history opened up a debate that continues today as schools seek to strike a balance between claims of national and global history.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.015 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".