Exhibiting the Nation: Identity and (Post)colonial Aesthetics in Hannah Khalil’s <i>A Museum in Baghdad</i>
Bibliographic record
Abstract
Hannah Khalil’s play A Museum in Baghdad and its 2019 staging by the Royal Shakespeare Company focus on the complex relationship between museum and theatre as memory institutions. This relationship was enhanced by metatheatrical connections between the performance of the museum on stage, the accompanying displays in the Royal Shakespeare Theatre lobby and gift shop, and the spectators who entered the Swan Theatre auditorium. The exploration of the intricate exchange between performance, space, and audience reveals the paramount importance of two specific issues: the politics of display and the performative aspect of nation-making within national institutions. Using postcolonial and decolonial frameworks, my analysis probes the ways in which theatre may offer a better understanding of dramaturgies of display in museums through the exposure and critique of the complex cultural and social challenges that emerge from the interdependence between national cultural institutions and official narratives of belonging (such as the lack of representation of marginalized communities, homogenized views of cultural development, or targeted financial support for institutions that adhere to state narratives). Khalil’s theatrical depiction of the political intricacies of curatorial decision-making allows for a sobering examination of both the role of museums in the creation of national narratives of identity and the responsibility of the theatre to uncover the cultural mechanisms used to enforce such narratives.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.034 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".