Bibliographic record
Abstract
Updated and revised to include theoretical and other developments, bibliographical additions, new photographs and illustrations, and expanded name and subject indexes, fourth edition of All Possible Worlds: A History of Geographical Ideas is most complete and comprehensive book of its kind. The text also features a layout and readability that make material easy to navigate and understand. The book investigates ways in which subject of has been recognized, perceived, and evaluated, from its early acknowledgment in ancient Greece to its disciplined form in today's world of shared ideas and mass communication. Strong continuities knit Classical Period to Age of Exploration, then carry students on through Varenius to Humboldt and Ritter--revealing emergence of the new geography of Modern Period. The history of American geography--developed in seven of twenty chapters--is strongly emphasized pursuant to formal origins of in late nineteenth-century Germany, Darwin's theory of evolution, and great surveys of American west. This treatment is enhanced by chapters concerning parallel histories of in Germany, France, Great Britain, Russia (including USSR and CIS), Canada, Sweden, and Japan-countries that at first contributed to and later borrowed from body of US geographical thought. All Possible Worlds: A History of Geographical Ideas, Fourth Edition, is ideal for upper-level undergraduate or graduate courses in history and philosophy of classical, medieval, and modern geographical thought.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 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".