Bibliographic record
Abstract
To what extent do best-selling travel books, such as those by Paul Theroux, Bill Bryson, Bruce Chatwin and Michael Palin, tell us as much about world politics as newspaper articles, policy documents and press releases? Debbie Lisle argues that the formulations of genre, identity, geopolitics and history at work in contemporary travel writing are increasingly at odds with a cosmopolitan and multicultural world in which 'everybody travels'. Despite the forces of globalization, common stereotypes about 'foreignness' continue to shape the experience of modern travel. The Global Politics of Contemporary Travel Writing, first published in 2006, is concerned with the way contemporary travelogues engage with, and try to resolve, familiar struggles about global politics such as the protection of human rights, the promotion of democracy, the management of equality within multiculturalism and the reduction of inequality. This is a thoroughly interdisciplinary book that draws from international relations, literary theory, political theory, geography, anthropology and history.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.019 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".