Book Reviews
Bibliographic record
Abstract
Max Hirsh, Airport Urbanism: Infrastructure and Mobility in Asia (Minneapolis: University of Minnesota Press, 2016), 216 pp., 80 black-and-white illustrations, 20 color plates, $25 (paperback), $87.50 (hardback) Laura Bang Lindegaard, Congestion: Rationalising Automobility in the Face of Climate Change (Frankfurt: Peter Lang, 2015), 214 pp., $54.95 (hardback) Neriko Musha Doerr and Hannah Davis Taïeb, eds., The Romance of Crossing Borders: Studying and Volunteering Abroad (New York: Berghahn Books, 2017), 302 pp., $90 (hardback) Ehren Helmut Pflugfelder, Communicating Mobility and Technology: A Material Rhetoric for Persuasive Transportation (London: Routledge, 2017), 178 pp., 19 illustrations, $149.95 (hardback), $54.95 (ebook) Christo Sims, Disruptive Fixation: School Reform and the Pitfalls of Techno- Idealism (Princeton, NJ: Princeton University Press, 2017), 232 pp., $27.95 (paperback), $80 (hardback) Charlotte Mathieson, ed., Sea Narratives: Cultural Responses to the Sea, 1600– Present (London: Palgrave Macmillan, 2016), 281 pp., 5 illustrations, €93.59 (hardback), €74.96 (ebook) Till Mostowlansky, Azan on the Moon: Entangling Modernity along Tajikistan’s Pamir Highway (Pittsburgh, PA: University of Pittsburgh Press, 2017), 240 pp., 25 black-and-white illustrations, $26.95 (paperback) Steff en Köhn, Mediating Mobility: Visual Anthropology in the Age of Migration (New York: Columbia University Press, 2016), 208 pp., $30 (paperback) Margaret Guroff, The Mechanical Horse: How the Bicycle Reshaped American Life (Austin: University of Texas Press, 2016), 295 pp., 10 black-and-white photographs, 5 black-and-white illustrations, $17.95 (paperback) Melody L. Hoffmann, Bike Lanes Are White Lanes: Bicycle Advocacy and Urban Planning (Lincoln: University of Nebraska Press, 2016), 210 pp., $40 (paperback) Alexander Braun, ed., Winsor McCay: The Airship Adventures of Little Nemo (Cologne: Taschen, 2017), 288 pp., $15 (hardback)
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.533 | 0.477 |
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".