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Research Article

Reputation laundering and museum collections: patterns, priorities, provenance, and hidden crime

ORCID Icon & ORCID Icon
Pages 145-164 | Received 21 Jul 2023, Accepted 14 Nov 2023, Published online: 20 Nov 2023

Figures & data

Figure 1. a and b: Patterson’s donations to the Brooklyn Museum. Screenshot of the museum’s digital catalogue taken by Yates, 7 July 2022.

Figure 1. a and b: Patterson’s donations to the Brooklyn Museum. Screenshot of the museum’s digital catalogue taken by Yates, 7 July 2022.

Figure 2a. a and b: some of the low-value items that were part Patterson’s NGV donation scheme. Screen shot taken of the NGV collections database by Yates, 21 July 2023.

Figure 2a. a and b: some of the low-value items that were part Patterson’s NGV donation scheme. Screen shot taken of the NGV collections database by Yates, 21 July 2023.

Figure 2b. (Continued)

Figure 2b. (Continued)

Table 1. Objects donated to museums by Leonardo Patterson; our list as of mid 2023.

Figure 3. Patterson’s donations to the AMNH. Screen shot taken of the AMNH online collections database by Yates on 23 February 2023.

Figure 3. Patterson’s donations to the AMNH. Screen shot taken of the AMNH online collections database by Yates on 23 February 2023.

Figure 4. a and b: above, three of the obsidian “labrets” from the Patterson objects in the NGV; below, two strikingly similar obsidian “ear plugs” among the Merrin donations to the AMNH. Screen shot taken of the NGV online collections database and of a pdf supplied by AMNH by Yates on 21 July 2023.

Figure 4. a and b: above, three of the obsidian “labrets” from the Patterson objects in the NGV; below, two strikingly similar obsidian “ear plugs” among the Merrin donations to the AMNH. Screen shot taken of the NGV online collections database and of a pdf supplied by AMNH by Yates on 21 July 2023.

Data availability statement

Our computational notebooks and our original knowledge graph CSV file are available at https://doi.org/10.5281/zenodo.7506971 and may be run using Jupyter on a personal computer, or online via Google’s Colab service; for use on a personal computer, a GPU is recommended. Source code for our use of the OpenAI large language model to create a knowledge graph is available from: https://github.com/XLabCU/gpt3-relationship-extraction-to-kg; Archived source code at time of publication: https://doi.org/10.5281/zenodo.7860733 (Graham, Yates, and El-Roby Citation2023). In that latter repository, the original code for ‘python_api.py’ is copyright Sixing Huang released under the MIT License. Our additional code (‘split_resize.sh’) is released under the MIT No Attribution License.