The Legal Concept of Employment: Marginalizing Workers
Bibliographic record
Abstract
The topic of this report is the legal concept of employment because employment is the most important concept for determining the legal protection associated with different forms of paid work. Employment establishes the boundary between the economic zone of commercial relations, entrepreneurship, and competition, on the one hand, and the economic zone of labour protection, economic dependency, and regulation, on the other. This report focuses on how the law distinguishes between employment and selfemployment, placing emphasis on own-account self-employment, where the selfemployed person does not employ other employees. This case study is selected because it provides an opportunity to examine the normative question of whether labour protection ought to be limited to only certain forms of paid work. Moreover, the dramatic growth of self-employment since the 1980s in Canada raises important questions about the operation of labour markets, whether self-employment is coterminous with entrepreneurship, and the adequacy of prevailing legal tests of employment status for determining the personal scope of labour protection and social benefits. Employing
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".