From Reading to Computation
Traditional humanities research relies on interpretive reading practices that necessarily involve selection and limitation. While such approaches provide depth, they cannot easily account for large-scale structural patterns distributed across tens of thousands of texts. This project therefore asks what becomes visible when the archive is approached not as a collection of individual texts, but as a dataset that can be analysed in its entirety.
Three Research Problems
Despite the richness and accessibility of the archive, its scale presents a methodological challenge that cannot be addressed through conventional reading alone. The sheer volume of material makes it difficult to identify patterns of change that unfold gradually over time or emerge only at scale.
First, although detailed authorship information is available, it remains temporally static in its raw form. While it is possible to identify who contributed to the magazine, it is far more difficult to understand how patterns of influence evolved across decades, including how certain voices rose to prominence, maintained authority, or gradually receded.
Second, the thematic composition of the magazine is similarly resistant to manual analysis. Over a span of 28 years, editorial priorities inevitably shift in response to industrial, technological, and cultural developments. However, these transformations are distributed across thousands of articles and cannot be easily reconstructed through selective reading.
Third, existing scholarship has tended to privilege formal film discourse while overlooking the language of everyday life embedded within the texts. In particular, references to food, consumption, and social rituals have received little attention, despite their potential to reveal subtle yet meaningful shifts in cultural identity and lived experience.