When stories are not the same: power and powerlessness in a Nigerian Museum
Bibliographic record
Abstract
In this paper, we provide an alternative reading to one of the most fundamental claims of the exhibitionary complex, which argues that museums are symbols of power, greatness, wealth, and progress. On the contrary, we adopt Peter Berger and Thomas Luckmann's (1996) concept of social constructionism and Star & Griesemer's concept of the border object and infrastructure to deconstruct the possibility of the fixity of meaning in Bennett's argument about the exhibitionary complex. We therefore argue that the many museums in Africa are slightly different. Rather than being a symbol of the people's power, wealth, and greatness, they reflect powerlessness and pain, which characterise their history. With histories such as the Transatlantic slave trade and British imperialism, which lasted through the 17th and 19th centuries, we discuss the Badagry Black Heritage Museum as a site not exclusively about power and greatness. The paper concludes that the defining characteristic of museums is their diversity, which offers multiple perspectives on their functionality, significance, and theoretical underpinnings. While Bennett's idea is laudable, there is a need to open up the concept of accommodating the specific features of museums across the world and develop new concepts or ideologies that reflect them.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.033 | 0.034 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".