Spatiality and Environmental Justice in Parkdale (Toronto)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As part of the project to name environmental injustices in Canada, this article explores the significance of a critical analysis of social space to understand environmental justice problems in an urban Canadian community. Environmental injustices that impact on particular geographical locations have a readily apparent, fixed spatial aspect. However, I argue that a broader view to the politics of how space is produced and reproduced is necessary to explain the way in which the spatial manifestations of political economic transformations can create new and dynamic environmental injustices (Massey 1993). I at first outline some of the key components of the environmental justice perspective. Then, by drawing on critical work in the area of human geography, in particular Edward Soja’s (1996) and Henri Lefebvre’s (1991) work, I review the limitations of the dominant approach to spatiality in the American environmental justice literature. I then present my arguments in favour of a critical view to social space through a consideration of my field research findings in the Toronto community of Parkdale.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it