Professional Status and the Freedom to Contract: Toward a Common Law Duty of Non-Discrimination
Bibliographic record
Abstract
This paper suggests that Canadian common law doctrine, according to which businesses providing goods and services to the public at large are allowed to refuse service because of a customer’s group-based characteristics such as race, is inconsistent with previous case law as well as with the underlying reason-based structure of the common law. After suggesting that the common law has not been fully displaced by human rights legislation, the paper demonstrates that the common law contains three concrete articulations of a duty to provide equal service. It argues that at the core of the rationale that best fits these bodies of case law is a status-based demand placed on those interacting in their capacity as members of an impersonal profession to refrain from taking into account any personal or group-based characteristics beyond those relevant to the provision of goods and services around which the profession is organized.
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 | 0.022 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.120 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.013 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".