Governing the Transition in Post-War Italy: Lieutenant-Colonel H. S. Robinson and the Allied Civil Administration in Brescia
Bibliographic record
Abstract
The paper focuses on the relationship between Lieutenant Colonel H. S. Robinson, the Canadian officer who served as the Allied Governor of Brescia in 1945, and the city itself. As a member of the Allied Military Government (AMG), Robinson’s tenure was marked by a multi-faceted and intense engagement with Brescia. His role involved making critical and often harsh decisions on public order, the economy, healthcare, and political administration. At the same time, Robinson maintained personal relationships with local communities, administrative officials, associations, and the broader social fabric of the city. His governance was not limited to official duties but was deeply involved in the social dynamics of post-war Brescia. Robinson’s ability to navigate both the institutional and personal aspects of leadership allowed him to foster a sense of connection with the local population, which extended beyond the immediate years of the war. However, his leadership raised mixed reactions. While many in the city held him in high regard, especially for his decisive actions in restoring order, others, particularly members of the Communist Party, were less favourable, often critical of his policies and the Allied interference in post-war Italy. Even after the conflict ended, Robinson remained involved with some local people, sustaining bonds that reflected the lasting impact of his leadership. His time in Brescia left him with vivid memories of the city and its people, an indelible memory in his personal life.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.016 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".