« A museum and a laboratory of Feminism » : dynamiques mémorielles et enjeux politiques au siège du National Woman’s Party, 1930–1960
Bibliographic record
Abstract
Abstract: Entre les années 1930 et 1960, l’organisation féministe états-unienne National Woman’s Party (NWP) se préoccupe intensément de préserver son rôle dans les luttes suffragistes passées. Afin de revendiquer sa place dans cette histoire militante, elle se lance alors dans une vaste entreprise historiographique, au sein de laquelle son siège à Washington, Alva Belmont House, joue un rôle prépondérant. En effet, ce lieu de mémoire peut être analysé comme un espace de production des savoirs historiques, à travers des usages et pratiques spécifiques. La mobilisation des archives militantes et des sources de presse permet d’étudier la façon dont la mémoire est construite, matérialisée et transmise depuis ce lieu, ainsi que les enjeux de pouvoir qui s’y rattachent. En retour, cela révèle la façon dont un mouvement social peut utiliser, voire instrumentaliser le passé à des fins politiques. Abstract: Between the 1930s and 1960s, the National Woman’s Party (NWP), an American feminist organization, was intensely committed to the preservation of the role it played in past suffragist struggles. In order to assert its place in this activist history, it embarked on a vast historiographical undertaking in which its Washington headquarters, the Alva Belmont House, played a leading role. Indeed, this place of memory can be analyzed as a space where historical knowledge was produced, through specific uses and practices. The mobilization of militant archives and press sources enables us to study the way in which memory is constructed, materialized and transmitted from this site, as well as the issues of power involved. This, in turn, reveals how a social movement can use, or even instrumentalize, the past for political ends.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".