Bibliographic record
Abstract
A clinic at the University of Calgary law school in 2014 worked with unions and workers'rights groups to develop constitutionalchallenges to the historic exclusion of farm workers from labour and employment legislation in Alberta. After exploring arguments under sections 2(d), 7 and 15 of the Canadian Charter of Rights and Freedoms, we concluded that, based on the existing jurisprudence, the equality rights arguments under section 15 were the weakest. This article explores what is lost when we fail to recognize the identity-based harms that flow from government violations of equality rights. It considers the nature of these harms, why they may be minimized or ignored, and the consequences of ignoring those harms. These issues are examined in the context of workers' rights, and in particular those of farm workers, but the analysis is also relevant to broader contexts. The article concludes with thoughts on how the Supreme Court of Canada's approach to section 15 of the Charter should be modified in order to better capture identitybased harms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.046 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".