Engaging Children in Conversations About Loss With the Help of a Canadian Activity Book
Bibliographic record
Abstract
In Canada, the practice of medically assisting patients in dying has been legal since 2016. Patients who have been diagnosed with serious diseases or disabilities—including mental illnesses, starting in March 2024—may meet the requirements to seek medically assisted suicide. As a result of this legalization, medical and ethical communities have expressed concerns regarding those who assist their loved ones in the process of dying. To date, little has been written about how children react when someone close to them decides to end their life due to unbearable suffering. In July 2022, the Canadian Virtual Hospice group published the Medical Assistance in Dying (MAiD) Activity Book as a tool to help children navigate the traumatic experience of loss. This article inquires as to whether this activity book can provide a new and helpful approach to supporting children through the process of understanding death. It considers whether offering them answers and clear explanations, instead of regarding death as taboo, can mitigate the psychological impacts of losing someone.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".