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
Abstract How did today’s debate over euthanasia (taken from the Greek word for ‘good death’) become so divisive in American society? In A Merciful End Ian Dowbiggin tells, for the first time, the dramatic story of those reformers who struggled throughout the twentieth century to change the nation’s attitudes towards mercy killing and assisted suicide. Having had access to confidential records in the United States, England and Canada, and having interviewed leading figures in the American euthanasia movement, he reveals that euthanasia has been a contentious issue in America for over a century, long before Jack Kevorkian began helping patients to die. Over the course of the twentieth century, a group of public-spirited men and women tried to break down ancient Judeo-Christian prohibitions against mercy killing, overturn state laws criminalizing assisted suicide, and convince the US Supreme Court that there is a right to die in the Constitution. In their eagerness to succeed, these euthanasia advocates have often sanctioned public policies that blur the fine line between choice and duty, freedom and coercion, the rights of the individual and the needs of society. By the dawn of the twenty-first century, they had won some small victories, and the debate over whose lives were worth living still raged, but Dowbiggin argues that more and more Americans seemed to prefer better end-of-life care to sweeping changes in laws about euthanasia. America’s euthanasia movement entered the twenty-first century ready and willing to fight new wars but facing an uphill battle against sentiments such as these. Original, wide-ranging in scope, but sensitive to the personal dimensions of euthanasia, A Merciful End is an illuminating and cautionary account of the tension between motives and methods within twentieth century social reform. It provides a refreshingly new perspective on an old debate.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it