Guerrilla geography: describing and defending place for a living (or the renaissance of 100–mile geographers)
Bibliographic record
Abstract
The abandonment of regional geography in the mid 20th century through pressures of globalization, urbanization and corporatization lost two generations of local knowledge and engagement. Studying place, finding the genius of loci, helping communities to articulate the uniqueness and relevance of place has been left to poets, activists and guerrilla geographers. The chapter looks at the role of guerrilla geography in the renaissance of place, community mapping and naming of place, and ultimately the protection and restoration of place through the word and illustrations of one practitioner from Canada’s rarest ecosystem—the Garry oak meadows overlooking the Salish Sea. Up until 1991, this drought‐adapted ecosystem, now the focus of research on ecosystem resilience in climate change, had no name, no map, no cultural identity beyond Little England, no recognition from academia and no protection. With the return to localism and demand for regional solutions, what is the role for young guerrilla geographers in their respective places across Canada? This discussion will chart a course of meaningful work as we pick up the lost stories of place and weave them with the new. It suggests ways for the academic community to support, educate and legitimize the next generation of guerrilla geographers.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".