Union donations to community organisations and the dampening effect of government legislation: the case of Bill 32 in Alberta, Canada
Bibliographic record
Abstract
Unions in North America have a long history of financial support for charities, non-profits and other community-based organisations. However, very little research has been conducted into how much, to whom and why this financial support is provided. This article reports on a survey examining the financial donation patterns of unions in the Canadian province of Alberta. Alberta is chosen as the jurisdiction for the study as the provincial government recently enacted legislation (commonly referred to as Bill 32) that may force unions to reduce community-based donations, which would negatively impact those organisations and interfere with a core union function. The survey also examines how union financial support changes due to the implementation of this legislation. The study finds that a small but not insignificant percentage of union expenditures are devoted to community giving and that unions tend to donate to a narrow range of causes and organisations. It also finds that union responses to donation-dampening legislation were mixed, in part due to the politically controversial nature of the legislation.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.033 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".