Researcher abandons two decades of humanities academia for computational linguistics as a beginner

The event is a career pivot from humanities research to computational linguistics. The researcher held two successive Russian doctorates but concluded their work relied on interpretive frameworks that could accommodate almost any evidence, making it difficult to disprove claims. This lack of falsifiability led to a crisis of meaning, despite institutional rewards for complexity and publication in low-rejection venues.

The cost of adopting the new field is steep: the researcher became a beginner at 41, with no prior coding experience or familiarity with statistical concepts like p-values. The pivot required discarding credentials that carried little weight outside Russia, where the academic system’s incentives had kept them trapped. The move also involved personal disruption, including leaving the country and shedding possessions.

Where the new approach stops working is not yet clear, but the material highlights key differences. Computational linguistics provides immediate feedback through code failures and data that resists interpretation, unlike the prior work’s reliance on layered theoretical frameworks. However, the researcher acknowledges they do not yet know if this will become the 'right game,' suggesting the risk of another mismatch remains.

The feeds frame the event as a personal narrative, but the underlying tension is systemic. The researcher’s prior work was rewarded for sophistication and volume, not for producing transferable skills or artifacts. The new field’s emphasis on tangible outcomes, code, parsers, data, offers a stark contrast, though it may also impose its own constraints, such as the need for technical infrastructure or industry alignment.