Book Reviews
Bibliographic record
Abstract
Tim Ingold, Being Alive: Essays on Movement, Knowledge and Description; Tim Ingold (ed.), Redrawing Anthropology: Materials, Movements, Lines; Tim Ingold and Jo Lee Vergunst (eds.), Ways of Walking: Ethnography and Practice on Foot Phillip Vannini Tom Standage, A History of the World in 6 Glasses Nanny Kim Simone Fullagar, Kevin W. Markwell, and Erica Wilson (eds.), Slow Tourism: Experiences and Mobilities Lisa Cooke Jennie Germann Molz, Travel Connections: Tourism, Technology and Togetherness in a Mobile World Giovanna Mascheroni Hazel Andrews and Les Roberts (eds.), Liminal Landscapes: Travel, Experience and Spaces In-between Jad Baaklini Les Roberts, Film, Mobility and Urban Space: A Cinematic Geography of Liverpool Ekaterina Fen Helen Lee and Steve Tupai Francis (eds.), Migration and Transnationalism: Pacific Perspectives Elisabeth Betz David Pedersen, American Value: Migrants, Money and Meaning in El Salvador and the United States Federico Helfgott Leopoldina Fortunati, Raul Pertierra and Jane Vincent (eds.), Migration, Diaspora, and Information Technology in Global Societies Giuseppina Pellegrino Daniel Flückinger, Strassen für alle: Infrastrukturpolitik im Kanton Bern 1790-1850 Reiner Ruppmann Richard Vahrenkamp, The Logistic Revolution: The Rise of Logistics in the Mass Consumption Society Alfred C. Mierzejewski
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.556 | 0.519 |
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".