Uptake in the practice of medical assistance in dying (MAiD) and involvement by physician speciality over time in Nova Scotia, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Legislation on medical assistance in dying (MAiD) was enacted in Canada in 2016. There is limited research on the topic available from Atlantic Canada. This study provides early data on the uptake of MAiD in Nova Scotia based on analysis of administrative billing data. It presents the number of MAiD cases by year from 2017 through early 2020. It also provides data on physician involvement in the MAiD process by specialty, broken down by assessors and providers of MAiD. Our data agrees with provincial- and national-level data that family physicians are highly involved in the MAiD process. Our study also documents physician involvement in conducting MAiD assessments by specialty, a metric which is not widely available in the literature. This study emphasizes the need for robust, provincial-level data on the demographics of providers involved in MAiD.
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.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it