Bibliographic record
Abstract
Introduction: Crossing Divides1 Keil (2018) cites Sewell's (1993Sewell's ( , 2009) ) work on Toronto and for the United States, James Kunstler (1993).In the socialist context, the housing estates in their designs are more often than not associated with the Athens Charter. 2 As urban planner and theorist Patsy Healey (2013) argues in her work on "The Transnational Flow of Planning Ideas and Practices," "images of urban form, promoted through international networks of architects, and movements such as CIAM … flowed vigorously around the world" and they in turn influenced the modernization projects of the politicians and planners in power (1512).3 Hirt (2012, 2017).See also the collection of essays in Siegelbaum (2011) on "Mobility and Socialist Cities," which use Le Corbusier as a reference point.Elke Beyer (2011) in that collection points to the diverse set of ideas that influenced socialist architects and urbanists in their envisioning of city centres in the GDR and the USSR. 4 See especially Team 10 East: Revisionist Architecture in Real Existing Modernism, edited by Łukasz Stanek and Dirk van den Heuvel (2014).Marcela Hanáčková's contribution looks specifically at the Czech context.5 One exception is Gordon's (2018) recent article on Carver's contribution to community planning, which I discuss in chapter 5. 6 Metropolitan Toronto was formed in 1953 as a federation made up of 13 municipalities, including North York.In this two-tiered level of government, "Metro" took on regional responsibilities, while each of the municipalities oversaw local issues.In 1967, this was reduced to six municipalities, and in 1998 Metro was done away with altogether with amalgamation of all the municipalities into the City of Toronto.7 According to Sýkora and Mulíček (2014), nearly one-third of Prague residents had a country house; the country houses made up for people's Notes
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.507 | 0.220 |
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".