Uncharitable Treatment? Why Donations to Private and Public Foundations Deserve Equal Tax Status
Bibliographic record
Abstract
Canada’s public foundations and charities got a helping hand from Ottawa last year when the May federal budget removed the capital gains tax on listed securities given as donations. While the change facilitated gifts of stock to these public organizations, their philanthropic cousins, private foundations, did not benefit. This differential treatment potentially discourages donations to, and the development of, private foundations (Payne 2005). Why should anyone but wealthy donors care? Private foundations are a mainstay of Canada’s charitable sector. There are more than 3,000 private foundations in the country, with annual donation receipts totaling more than $700 million, compared to about 4,000 public foundations that receive perhaps twice as much in total donations. Private foundations are a means of leaving a legacy of philanthropy. Their differential tax treatment reflects a general assumption that they engage in more non-arm’s length transactions and are therefore more susceptible to tax abuse. A closer look at the flow of funds in private versus public foundations, which we undertake in this paper, helps assess the distinction. What are the issues? The 2006 federal budget announced that the government would consult with private foundations and the charitable sector to develop self-dealing rules. If appropriate rules were devised, Ottawa would be prepared to bring these rules before Parliament within a year and would seek to extend the capital gains exemption for donations of listed securities to private foundations.1 We support this undertaking and encourage the government to restructure the oversight of private foundations to provide for their development, while discouraging potential abuses of the private foundation structure.
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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 | 0.008 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".