Missing Data, Speculative Reading. Koeser, R. S. & LeBlanc, Z. Journal of Cultural Analytics, May, 2024. ![Missing Data, Speculative Reading [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In this article we use an approach we term “speculative reading” to explore gaps in Sylvia Beach’s lending library records and the *Shakespeare and Company Project* datasets. We recast the problem of missing data as an opportunity and use a combination of time series forecasting, evolutionary models, and recommendation systems to estimate the extent of missing information and speculatively fill in some gaps. We conclude that the datasets include ninety-three percent of membership activity, ninety-six percent of members, and sixty-four percent to seventy-six percent of the books despite only including twenty-six percent of the borrowing activity. We then treat Ernest Hemingway as a test case for speculative reading: based on Hemingway’s known borrowing and all documented borrowing activity, we generate a list of books he might have borrowed during the years his borrowing is not documented; we then verify and interpret our list against the substantial scholarly record of the books he read and owned.
@article{koeser_missing_2024,
title = {Missing {Data}, {Speculative} {Reading}},
volume = {9},
url = {https://culturalanalytics.org/article/116926-missing-data-speculative-reading},
doi = {10.22148/001c.116926},
abstract = {In this article we use an approach we term “speculative reading” to explore gaps in Sylvia Beach’s lending library records and the *Shakespeare and Company Project* datasets. We recast the problem of missing data as an opportunity and use a combination of time series forecasting, evolutionary models, and recommendation systems to estimate the extent of missing information and speculatively fill in some gaps. We conclude that the datasets include ninety-three percent of membership activity, ninety-six percent of members, and sixty-four percent to seventy-six percent of the books despite only including twenty-six percent of the borrowing activity. We then treat Ernest Hemingway as a test case for speculative reading: based on Hemingway’s known borrowing and all documented borrowing activity, we generate a list of books he might have borrowed during the years his borrowing is not documented; we then verify and interpret our list against the substantial scholarly record of the books he read and owned.},
language = {en},
number = {2},
urldate = {2024-08-15},
journal = {Journal of Cultural Analytics},
author = {Koeser, Rebecca Sutton and LeBlanc, Zoe},
month = may,
year = {2024},
}
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