Célébrer la diversité au Museum of the African Diaspora. La question de l’(auto)représentation culturelle au sein de l’espace muséal contemporain
Bibliographic record
Abstract
Cet article pose un regard critique sur une jeune institution muséale qui cherche encore à définir son identité, le Museum of the African Diaspora (MoAD), situé à San Francisco (É.-U.). Le MoAD se définit comme un « first voice museum » et désire rendre compte des expériences de la diaspora africaine. Or, force est de constater que la catégorisation du Musée est au coeur du conflit identitaire de l’institution. En effet, la notion de « first voice » est plutôt ambivalente, et la question de savoir quelle est cette voix première se trouve au centre du débat identitaire du MoAD. Est-ce la voix des Afro-Américains, des communautés diasporiques noires, ou de tout un chacun ? Est-elle plurielle ? Les réponses à ces questions ne font pas l’unanimité au MoAD. La présente étude cherche à savoir comment l’identité ethnoculturelle des peuples de la diaspora africaine est dépeinte dans un tel contexte.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".