Taking a Walk with Judith Thompson: Flânerie Tames the Lion in the Streets
Bibliographic record
Abstract
The structure of Judith Thompson’s play Lion in the Streets mimics the rambling practice of the flâneur who “reads the streets,” and deciphers the “ever new book” that is the “text of the city itself,” as described by Franz Hessel. Theories of flânerie expounded by Charles Baudelaire, Walter Benjamin, Michel de Certeau and Jane Jacobs shed light on the improvisational impulse of the flâneur, which often leads to more profound urban experience, such as character Isobel’s detection of crime in Toronto. Moreover, Thompson’s recasting of the flâneur as a lower-class, female “immigrant child” facilitates the critique of the violence of normative urban Canadian culture, and the fact that Isobel is a ghost allows her greater anonymity and mobility. Her ultimate forgiveness of her murderer has both Christian and secular significance, offering a possible solution to urban life’s cycle of violence.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.017 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".