Landscape and the Ideology of Nature in Exurbia
Bibliographic record
Abstract
1. Introduction: Sprawl and the Ideology of Nature Laura Taylor and Kirsten Valentine Cadieux 2. Bridges in the Cultural Landscape: Crossing Nature in Exurbia Laura Taylor 3. Exurbia Meets Nature: Environmental Ideals for a Rootless Society Richard Judd 4. Airworld, the Genius Loci of Exurbia Andrew Blum 5. Rewilding Walden Woods and Reworking Exurban Woodlands: Higher Uses in Thoreau Country Brian Donahue 6. Sojourning in Nature: The Second-Home Exurban Landscapes of Ontario's Near North Nik Luka 7. Design and Conservation in Quebec City's Rural-Urban Fringe: The Case of Lac-Beauport Genevieve Vachon and David Paradis 8. Time, Place, and Structure: Typo-Morphological Analysis of Three Calgary Neighborhoods Bev Sandalack and Andrei Nicolai 9. The Imagined Landscape: Language, Metaphor, and the Environmental Movement Thomas Looker 10. The Mortality of Trees in Exurbia's Pastoral Modernity: Challenging Conservation Practices to Move Beyond Deferring Dialogue About the Meanings and Values of Environments Kirsten Valentine Cadieux Editors' Epilogue: An Agenda for Addressing Green Sprawl Laura Taylor and Kirsten Valentine Cadieux
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".