Bibliographic record
Abstract
The debate surrounding the legalization of assisted suicide has been galvanized in recent years by reports of specific cases of assisted suicide, primarily involving physicians such as Kevorkian and Quill, and by impassioned pleas for legalization and assistance in suicide from individuals suffering in the throes of terminal or agonizing diseases, such as Sue Rodriguez. Media attention on criminal trials of individuals accused of assisting in a suicide has heightened public awareness of the issue. The constitutionality of criminal prohibitions on assisted suicide has been tested in various jurisdictions, and has recently been considered by the Supreme Courts of both the United States and Canada. Following two narrowly unsuccessful attempts to enact dignified death provisions by referenda in Washington and California, Oregon voters passed the first of such proposed laws in November 1994, providing for physician-assisted suicide under certain specified conditions. Attempts to introduce legislation to legalize assisted suicide in other jurisdictions have been galvanized by the success in Oregon. A model statute has been drafted by a group of law professors, philosophers and medical professionals.
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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.077 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.018 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 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".