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
Policies promoting Toronto as a global city and provincial economic engine have been seen as beneficial to the development of all of Ontario, yet much of the province has borne significant environmental, social, economic, and political costs as a result of one city's growth. Contributors to this volume call for a radical re-imagining of public policy at local, provincial, and federal levels, that accounts for Ontario's overlooked regions. Beyond the Global City presents a kaleidoscopic view of the province - the rich fields and small towns of the southwest, the productive agricultural lands of rural Huron County, historic Kingston and the Upper St Lawrence, the social and cultural diversity of the Ottawa valley, the near mythical woodlands and waters of Muskoka and Georgian Bay, and the heavily exploited coasts and waters of the Great Lakes - to provide a deeper understanding of its various communities. In a series of regional studies, contributors describe each area's distinctive qualities and challenges and offer recommendations about what is needed to move them forward in a more equitable and sustainable way. Two initial historical chapters lay the framework for the regional discussions, while cross-cutting and integrated chapters analyze the state of natural and cultural heritage and current development theory provincially, offering guidance for the future.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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