The specter of authenticity: Social science after the deconstruction of Romanticism
Bibliographic record
Abstract
In a long-forgotten essay, Alvin Gouldner defended the distinctive contributions of Romantic social science. Today, half a century later, very few would risk making a similar plea. Owing to its deconstruction, the discourse of Romanticism has increasingly fallen out of favor in the social sciences, meaning social scientists have progressively come to see Romanticism as less a resource for critique than a bourgeois ideology warranting critical scrutiny. Yet the truth is quite a bit more complicated. For despite its disapproval at the level of social science's explicit culture, Romanticism continues to serve, at the level of implicit culture, as a potent resource for social analysis. We start with a clarification of what we mean by Romanticism. While Romanticism may be an amorphous and multifaceted structure of thought and feeling, like Gouldner, we do not think it lacks coherence. Thus, we outline what we take to be the core dimensions of the ‘Romantic syndrome’, and then survey some of its key figures in Western social thought. Next, we move to a discussion of three select studies about the infiltration of Romanticism into the capitalist heartland—the sphere of work. We demonstrate how, consistent with our argument that Romanticism has become increasingly symbolically polluted within social science, each of these studies critiques the Romantic turn at work, while nevertheless anchoring their critiques in Romanticism, albeit in increasingly implicit fashion. We conclude by offering some reflections on why Romanticism continues to haunt contemporary social science—and why this matters.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.168 |
| Scholarly communication | 0.019 | 0.022 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.009 | 0.017 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".