Bibliographic record
Abstract
The maverick American geographer William Wheeler Bunge (1928–2013) was never allowed to keep any academic job he had. Nevertheless, he made a series of seminal contributions to Geography over a 30-year period. A long-time communist, he was centrally concerned with society’s marginalized, using geographical methods and techniques to empower them, to improve their lot. He believed Geography was an instrument, a means, to better the world, and he directed his considerable energy, intellectual and political, to that end. His first major contribution was philosophical and technical. A graduate student at the University of Washington during the late 1950s, his doctoral dissertation was both a vigorous philosophical justification of Geography as spatial science and an exemplification of that approach’s theories and methods. Published in 1962 as Theoretical Geography , the volume is regarded as one of the lasting contributions of the quantitative revolution. The second contribution was quite different, albeit judged equally as innovative and durable. It was his 1971 book Fitzgerald , a study of the one-square-mile inner-city neighbourhood in which Bunge lived in Detroit, 1961–1970. It is both a historical account and a contemporary political and economic analysis of racialization, and its consequences, found in that square mile. As a book there has been nothing like it before or since. His last two contributions are less well known although very much following from the earlier works. The Canadian Alternative (1975), jointly written with Ron Bordessa in Toronto after Bunge exiled himself to Canada, was both a continuation and extension of Bunge’s expeditionary work in Detroit. And the Nuclear War Atlas published in 1988 deployed novel cartographical techniques originating in Theoretical Geography to warn about the effects of nuclear Armageddon, thus also serving as a deterrent.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.018 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".