Marginalia 10: Reading records

I've recently been spending a lot of time finalising a coding project I've been working on for the last year, but I have read a few interesting things worth sharing.

Mike Jones is always asking interesting questions, and in Paths he asks plenty about the state of GLAM records and catalogues:

But do we need larger and larger aggregates with less description attached? Do we need more documentation produced from the perspective of the creator rather than considering subjects, communities, and users? As Michelle Caswell might ask, whose standpoint are we encoding through such an approach, and whose perspectives are being excluded as a result? When aggregating discrete records what pathways and relationships are missing from the map, and what stories, narratives, and connections are being lost? In relying on search technologies rather than rich, contextualised, relational description what are we making hard to find? Mike Jones, Paths, 2019

On a slightly related theme, Dan Cohen noted in Humane Ingenuity 13 that archival research practices have rapidly changed, at least in US institutions, and he too is asking questions:

What happens when instead of reading a small set of documents, taking notes, thinking about what you’ve found, and then interactively requesting other, related documents over a longer period of time, you first gather all of the documents you think you need and then process them en masse later? Dan Cohen, Humane Ingenuity 13, 2020

The answer, of course, is that we don't yet know. But it did make me wonder if there is a relationship with Franco Moretti's concept of Distant Reading – the 'Ship Map' referred to in Jones' paper is an example of 'distantly reading' shipping records. I've gone back to both of these pieces in recent days, thinking of course in the context of the current COVID-19 pandemic. Two datasets show how both close and distant reading of records can be useful, and the pandemic itself highlights some limitations of archives in general. Johns Hopkins University is maintaining a dataset and dashboard of COVID-19 cases and deaths, presented both as a global map as well as in a sort of macabre 'leader board' by country or jurisdiction. This provides an interesting 'at a glance' overview of the current state of the pandemic. In contrast, a video passing through Twitter shows a man comparing the Obituary pages of local Italian newspaper L'Eco di Bergamo a few weeks apart: two and a half pages in a 'normal' week, versus ten pages last week. This shows the very human impact of the pandemic on a particular town. These two datasets are about the same event, but tell the story in different ways. As Cohen comments, “For what it’s worth, I actually think that the new practice is neither better or worse than the old practice, but it is vastly different.”

The second point about the Johns Hopkins data is that it is official data: known cases, deaths, and confirmed recoveries. This dataset is useful, but it can only show what is recorded and reported. Early on in the pandemic, many people questioned the accuracy of both the Chinese and, later, Iranian official figures, claiming a cover up. More recently questions have been asked about the real state of the United States situation, with testing unavailable to many, and a President attempting to prevent a cruise ship from docking in the US so as to avoid the official number of US cases going up. In contrast, South Korea made testing widely available, likely recording many cases that in other countries would pass officialdom by. This merely highlights what people who have been subject to state control always say about official records and archives: they record what governments want to record, and can only ever reveal partial realities.

And speaking of COVID-19 testing: Victoria's DHHS has released an amazingly clear and helpful flowchart (pdf) to help those of us who have been completely confused about when and if testing is advised. Recommended reading!

Stay safe, and remember to wash your hands.