Funding Policies and the Nonprofit Sector in Western Canada: Evolving Relationships in a Changing Environment
Bibliographic record
Abstract
Evolving Relationships in a Changing Environment is an invaluable resource to those new to the world of social enterprise in Canada, as well as to those who study it and work within it.Well researched, referenced, and indexed, it provides insight into how grants, contribution agreements, contracts, and other variants of funding instruments work, as well as a roadmap of the bewildering array of government departments, policies, and acronyms that characterize this sector in Western Canada.Overarching themes in the book include the need for greater collaboration within the nonprofit sector, more professional development, and more empirical research to support advocacy and future planning.At the same time, there is an implied caution against lifting solutions directly from the book's pages.The impact of neoliberalism on the nonprofit sector has been allpervading, but the responses described here are products of specific provincial cultures and histories.Why a book specifically focused on Western Canada?Editor Peter Elson doesn't directly answer this question, but points out that economic growth in the West, particularly in oil extraction dependant Alberta, has dominated the interest of economists, politicians, and job seekers in recent decades.Nearly one third of Canadians now call the West (British Columbia, Alberta, Manitoba, and Saskatchewan) home.Elson tells us that Alberta's economy has the third highest percentage share of national gross domestic product (GDP) and the highest provincial per capita GDP.However, the boom and bust nature of resource-based economies comes with consequences.Growing income inequality sits in stark relief against the backdrop of Western corporate wealth and power, and volatile economic conditions in the West have, at times, led to some of Canada's more extreme political climates.Combined, these two factors make case studies of Western nonprofit sectors valuable subjects of analysis for those interested in how these agencies adapt to ever-changing conditions.The book includes eleven chapters by scholars, practitioners, experienced government representatives, and, in many cases, authors who are both scholars and practitioners.Discussion of the nonprofit environment in each of the four provinces begins with a historical overview that provides context to the present situation and allows readers to understand influences that have shaped government policy and nonprofit sector responses to it.These are followed by case studies of individual nonprofit agencies and organizations and include how local conditions have shaped their trajectories.For example, in British Columbia, the province's nonprofit housing sector created a shared-purpose statement that has been valuable to the process of developing new funding agreements in changing economic circumstances.In Alberta, the non-Book Review / Compte-rendu Zatzman (2018) ANSERJ To be notified about new ANSERJ articles, subscribe here./ Afin d'être avisé des nouveaux articles dans ANSERJ, s'inscrire ici.80
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".