Bibliographic record
Abstract
At the quarter mark of the twenty-first century Canada faces two existential threats: runaway climate change and the rising global tide of right-authoritarian imperialism. The inextricable relationship between the two threats requires clear vision and bold policy as Canada reconceives its future. Arguing that peace, order, and good government form the cornerstone of Canada’s national identity, Byron Williston revives the vision of philosopher George Grant to explore how these values can guide Canada in reimagining its identity across its own regions, within the North American context, and in the global political order. In a work that lays out a positive vision for Canada rooted in the ideal of an ecological nation, Williston argues that this country faces a stark choice between this ideal and absorption into the American empire. The key is a refined governance model addressing the failed history of Canadian climate policy and overcoming the false belief that Canada is essentially a land of inexhaustible resources. The nation-building project described here will both benefit all Canadians and avoid capture by the forces of social and political regression. It will help secure a sovereign and flourishing future for this country. The challenges Canada faces are profound. To meet them the country must engage fully with the eco-national project. While daunting, this moment provides a unique opportunity for Canada to link its national well-being to that of planetary health and to create a singularly Canadian political ethic informed by Indigenous knowledge and developed in step with the ongoing project of reconciliation
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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".