Critical Events and the Funding of Indigenous Organizations
Bibliographic record
Abstract
Many Canadian advocacy organizations were founded with federal government funding. However, in recent years, with federal budget cuts that funding has come into question. In this article, we analyze the funding of Indigenous organizations in Nova Scotia between 1960 and 2014 in order to examine whether or not the province filled gaps created by a changing political and economic context at the federal level. We analyze how the amount of funding and number of organizations funded changed during this period and consider how national and provincial critical events, federal Supreme Court decisions, changes in governments, and the founding of key organizations affect those shifts. Overall, we find that the province did make up shortfalls in funding during the 1990s and the first decade of the twenty-first century, offering more funds and to a wider number of organizations, but at the same time we see less funding per organization over time and ultimately cutbacks at the provincial level mirroring broader national trends toward austerity and neo-liberalism.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
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".