Foundations in Canada: A Comparative Perspective
Classification
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".
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
From a Canadian perspective, this article provides a comparative historical and contemporary overview of foundations in Canada, in relation to the United States and Germany. For the purposes of this analysis, the study was limited to public or private foundations in Canada, as defined by the Income Tax Act. As the Canadian foundation milieu straddles the welfare partnership model that characterizes German civil society and the Anglo-Saxon model of the United States, Canadian foundations as a whole have much in common with the foundation sector in both countries. Similarities include the number of foundations per capita, a similar range in size and influence, a comparable diversity of foundation types, and an explosion in the number of foundations in recent decades (although the United States has a much longer history of large foundations making high-impact interventions). This analysis also highlights some key differences among larger foundations in the three jurisdictions: German foundations are generally more apt to have a change-orientation and are more vigorous in their disbursement of income and assets. U.S. foundations are more likely to play a welfare-replacement role in lieu of inaction by the state. Canadian foundations play a complementary role, particularly in the areas of education and research, health, and social services. At the same time, there is a segment of Canadian foundations that are fostering innovation, social and policy change, and are embarking on meaningful partnerships and acts of reconciliation with Indigenous Peoples in Canada.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| 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