Bibliographic record
Abstract
As spring and summer vacations beckon, this book invites and incites a whole new approach to travel. "Postmarks from a Political Traveler" is a series of travel recollections confronting the troubling topics of roots and racism, polar bears and climate change, anti-Americanism, and the war in Afghanistan. The book opens with the story of the author s experience growing up in the Jim Crow South, traveling in apartheid South Africa, and living in the post-apartheid South Africa of 2009 and 2010. It explores the not-so-dissimilar roots and racism of the United States and South Africa, as well as the cross-fertilization of ideas between the two countries. The next installment chronicles two trips to Churchill, Manitoba, where the planet s largest population of polar bears congregate each October. It recounts the dramatic changes that have occurred in both the human and the polar bear communities in just the last decade and shows how the bears have become an Arctic version of the proverbial canary in the coalmine. Then the book shifts to the author s journey back to the United States on a German freighter with a rabidly anti-American captain. Woven into this account of life aboard a long haul ship are threads of the author s travels and anti-American encounters over a decade of living in Africa and Asia. The book concludes with reflections on trips to Afghanistan in 2004 and in 2012, describing the effects of war and conflict zone politics on women, education, refugees, and aid workers. What ties these episodes together is the author s commitment to social justice and to changing the world through travel and writing that is, affirming travel as a political act."
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.228 | 0.075 |
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".