Bibliographic record
Abstract
How did he wash up in the Czech Republic?I certainly wanted to know."So asked one of this book's anonymous reviewers.I took the comment in the jest and irony for which it was certainly intended, as the Czech Republic is a landlocked country.In his Czech history The Coasts of Bohemia, Derek Sayer reminds us that it was Shakespeare, in The Winter's Tale, that gave Bohemia a shoreline.Sayer writes that "Czechs are inclined to see Shakespeare's furnishing of their country with a coastline as typical example of foreigners' ignorance of their land."If in more contemporary times there is a space that is not well understood outside of Czech circles it is the sídliště, as the Czech post-war socialist housing developments are known.My experiences with the sídliště began with my very first visit to the Czech Republic in 2000, at the Sídliště Novodvorská, where a Canadian friend was living with his Czech girlfriend.But it was not until I met my future partner Hana, followed by my move to Prague in 2003 so that we could live together, that my understanding of socialism and its housing completely changed.Spending our first year together in Letňany, another Prague housing development in the northern part of the city, our conversations often turned to our respective upbringings: mine, in a suburb of Toronto, and hers, in the new town of Havířov, just outside of the city of Ostrava.In these conversations, the seed of this comparative project began to germinate.It was not that our worlds were similar, but it was as if they were connected through the looking glass.If I walked through the mirror, I could just as easily have found myself at a flower parade in Havířov, as she could have found herself at a birthday party at a McDonald's.Before I had a background in modernist architecture, I had found her descriptions of running out of her apartment into a nearby playground or the forest without the fear of traffic to be a suburban experience, Preface
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.493 | 0.295 |
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".