Discrimination and Family Status: The Test, the Continuing Debate, and the Accommodation Conversation
Bibliographic record
Abstract
There has been much uncertainty about the interpretation of as a prohibited ground of discrimination in the context of parent-to-child caregiving. In Canada (Attorney General) v Johnstone, the Federal Court of Appeal appeared to have eliminated the confusion. However, the test has been criticized for inserting accommodation principles into the determination of a prima facie case. The Ontario Human Rights Tribunal has rejected the idea of a special test for whether an employee has proven family status discrimination. Yet a specific test to establish a prima facie case of family status is consistent with previous decisions relating to other prohibited grounds of discrimination. The Johnstone test assesses whether an employee has a caregiving need that would trigger a request for accommodation in the workplace, and is consistent with determining when an employee's personal family responsibility ends and an employer's responsibility begins. However, rather than arguing about legal tests in an adversarial forum, a more satisfactory solution to addressing family status needs is to address them in the workplace. The article highlights the need for constructive communication between employees and managers to respond to work/family conflicts and outlines guidance from human rights commissions as to when a family situation should start an accommodation conversation and how to have it.
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 | 0.047 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.027 | 0.089 |
| Scholarly communication | 0.016 | 0.021 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.030 | 0.030 |
| 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".