Bibliographic record
Abstract
Editors note: The above letters were referred to the authors of the original paper, and their reply follows. In reply: Our article attempted to show the gap between policy and practice in American nursing homes with respect to attempted cardiopulmonary resuscitation (ACPR). Policy focuses on autonomy and reverence for human life. In practice, the many different burdens of ACPR and the very low likelihood that it will do any good have overcome policy considerations: ACPR is done, as best we can tell, on 3% or fewer of residents who die in nursing homes. In our view this is generally a victory of substance over form. Ferris points out the risk of lawsuit against the facility and its staff. Suing nursing homes is a ubiquitous, expanding, and thriving industry. With these close quarters and terribly ill patients, it is often easy to be damned if you do and damned if you don't. A nurse's decision to refuse to learn CPR is one example of how fear of litigation can affect nursing home residents. A resident who is transferred to hospital to complete the dying process, and thus reduce risk to the nursing home, is another example. Ferris' second point, that high-quality ACPR is often not actually available when it is offered, is complex. We continue to believe that the resources needed to prepare for, administer, and recover from ACPR would be better spent providing goods and services that actually benefit residents in the nursing home. Dr. Kane's two points demonstrate that the battle between form and substance is not over. Suppose there were a nursing home deep in the Yukon River valley, hours away from definitive ACLS. Would it make sense to offer ACPR to all residents? We agree with Dr. Kane that it would not. And yet HCFA, if it has jurisdiction within the Yukon, would insist on individual advance directives. Somehow medical common sense must be reconciled with respect for autonomy. We are not sure what it would take to make HCFA reconsider their position. Deciding whether to attempt CPR in nursing homes is extremely complex. To do so might be mindless overtreatment of a vulnerable dying patient. To fail to do so might be negligent undertreatment of a vulnerable, critically ill patient. Our view is that we should respect the wisdom of the people at the bedside. In nursing homes of all types, with or without religious or academic affiliation, for- and non-profit, regardless of the legal and regulatory climate, caregivers are deciding not to initiate ACPR. This fact should be given great weight in all further policy debate.
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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 | 0.008 | 0.060 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.031 | 0.043 |
| Insufficient payload (model declined to judge) | 0.021 | 0.025 |
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".