WHEN THE NEWS BROKE that urban theorist and activist Jane Jacobs
Bibliographic record
Abstract
(1916–2006) had died in a Toronto hospital two weeks shy of her ninetieth birthday on April 25, 2006, the attending media coverage in much of English-Canada (although this was perhaps an artifact of its Toronto-centric nature) soon became comparable in its scale to the treatment usually reserved to the departure of formerly prominent politicians, athletes, and artists. As the journalist Alice Sparberg Alexiou points out in her unauthorized biography, the Americanborn Jacobs had attained almost Pythia-like status in her adopted country and, like an old sage who could do no wrong, was by then immune to public criticism. 1 “Our Jane, ” as another Canadian icon, CBC broadcaster Peter Gzowski, once called her, had come to embody our human-scale civic virtues. While there is little disagreement on Jacobs’s status as the most influential writer on cities in the last half-century (Klemek 2007), perhaps the most remarkable aspect of her work is its widespread
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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 | 0.012 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".