Revolutionary Rites: Political Demonstrations at the Place de la Nation, Paris
Bibliographic record
Abstract
Historians who study sites of memory emphasize the fluidity in meaning attached to those sites. The meaning of monuments is dependent upon changes in political context, which affect both how they are perceived and the uses to which they are put. With specific attention to the Place de la Nation in Paris and to Dalou’s monument, Le Triomphe de la République, this article argues that street demonstrations have played an important role in creating meaning for Parisian sites of memory. It focuses on four events in the history of the Place/monument: the inauguration of the bronze statue on 19 November, 1899; the demonstration marking the formation of the Popular Front on 12 February, 1934; the “bloody” 14 July demonstration of 1953; and the demonstration against Jean-Marie Le Pen and the National Front on 1 May, 2002. While the specific political context of these demonstrations varied, as did the character and purpose of the actors composing them, they all provided an occasion for the rehearsal of France’s revolutionary traditions, with particular reference to the Paris Commune. The transitory nature and specific purposes of particular demonstrations, however, restricted their ability to alter the monument’s significance. This is painfully apparent in the case of the Algerian demonstration of 14 July, 1953, which ended in a quickly forgotten massacre.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.021 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".