Bibliographic record
Abstract
How do we solve a problem like Elizabeth? This might well have been the title of Elizabeth Wurtzel’s ‘depression memoir,’ Prozac Nation (1994); or rather, it might have been the title if the book had been a memoir, rather than a piece of first-person gonzo-style reporting from the field of chemical imbalance. This reading forms the basis of a deeper reconsideration of Wurtzel’s position in the popular imagination as the ‘voice of a generation.’ In the public imagination, mid-’90s culture in America is inextricably linked with irony, depression, and apathy. It may be a Canadian writer who is credited with popularising the term ‘Generation X’ (Douglas Coupland, in 1991), but the blankness and indeterminacy of its signification seemed to speak directly for a generation approaching adulthood in the nexus between the conservative Republicanism of the Reagan and (first) Bush years and the ostensible liberalism of the saxophone-sound tracked Clinton era. With her keen wit and canny publisher, Elizabeth Wurtzel capitalised on the ‘representative’ function of her writing, which is nowhere clearer than in the epilogue that gives Prozac Nation its title.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".