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Record W7148315667 · doi:10.5281/zenodo.19391565

Garibaldi and the Battle of Rome (1849): Fashion, Uniform, and the Politics of Dress in the Risorgimento

2025· article· W7148315667 on OpenAlexaff
Mark O'Connell

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsSeneca Polytechnic
Fundersnot available
KeywordsPoliticsForegroundingHistoriographyClothingEthosBattleNationalismIdentity (music)

Abstract

fetched live from OpenAlex

Abstract: This research examines the role of clothing in the construction and communication of political identity during the defence of the Roman Republic in 1849. Focusing on Giuseppe Garibaldi and his volunteer forces, it argues that dress, particularly the camicia rossa, functioned as a form of political language through which the ideals of the Risorgimento were rendered visible and embodied. Drawing on historiography of nationalism, material culture, and the (sartorial) visual construction of political authority, the study situates Garibaldi within a broader culture of symbolic mobilisation in which appearance was central to leadership and collective identification. Using both historical sources and material evidence, including garments and artefacts preserved in the Museo della Repubblica Romana e della Memoria Garibaldina in Rome, Italy, the article demonstrates how the red shirt operated as a flexible and reproducible marker of belonging, capable of uniting diverse volunteers while accommodating individual variation. In contrast to the regulated uniforms of state armies, the heterogeneous dress of the Garibaldini articulated a republican ethos grounded in voluntarism, equality, and transnational solidarity. By foregrounding clothing as an analytical category, this article reframes the defence of the Roman Republic as not only a military and political episode, but as a visual and embodied process in which nationalism was performed on the surface of the body. In doing so, it contributes to broader debates on the material and cultural dimensions of nineteenth-century nation-building.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.006
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.022
GPT teacher head0.232
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicEuropean Political History AnalysisFrench-language works237,207