Protected Concerted Activity and Non-Unionized Employee Strikes
Bibliographic record
Abstract
During the pandemic employees in the US have engaged in a wave of strikes, protests and other collective action over concerns about unsafe working conditions, and many of these involved non-unionized workers in the private sector. Similar employee protests were notably absent in Canada. This article examines the differences in labour legislation between the US and Canada which may help to explain these diverging experiences, primarily: the National Labor Relations Act (NLRA) section 7 protection for concerted activity, and the NLRA section 502 ability for a good faith strike due to abnormally dangerous conditions for work. This article outlines and compares the situation of, and consequences for, three categories of workers engaging in a strike over fears of workplace safety: unionized employees, non-unionized employees, and non-employees, such as independent contractors under the NLRA compared to under the Ontario Labour Relations Act (OLRA), as generally representative of Canadian labour legislation. In the final section, this article considers how a statutory provision similar to the NLRA protected concerted activity provision might be incorporated into Canadian labour legislation such as the OLRA. It also considers some more fundamental questions that such changes might prompt policymakers to reconsider, including: the focus of our statutory system on “organizing” collective action to the exclusion of “mobilizing” collective action, and questions about the potential role of minority unionism in our labour legislation system.
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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 | 0.001 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".