Baudelaire, Haussmann, Fustel de Coulanges: The Modern Metropolis and the Ancient City
Bibliographic record
Abstract
One of the first metropolitan heroes is homeless: the protagonist of Poe’s ‘The Man of the Crowd’ (1840) — terrible, mysterious, decrepit — is an old man who wanders day and night in London. The narrator tries to follow him, day after day, night after night: impossible to see him resting anywhere. 1 ‘The big city’s genius’ is continuously rushing, running, retracing his steps ‘with a mad energy’. To the narrator’s surprise, there is no rationale in the old man’s circuits. Disquieting allegory of the city, the man of the crowd inhabits the streets, condemned to be eternally outside, without a home, without a name. If he gets inside, it is in a public place, in ‘one of the huge suburban temples of Intemperance’, in ‘the most noisome quarter of London, where everything wore the worst impress of the most deplorable poverty, and of the most desperate crime’, 2 next to anonymous, wretched people, drinking gin, mixing misery and despair. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".