A positive risk approach when clients choose to live at risk: a palliative case discussion
Bibliographic record
Abstract
PURPOSE OF REVIEW: The article discusses recent approaches in the literature about clients who chose to live at risk in their homes. It argues for a positive risk-based approach and a tool to help manage risk in the home, and applies these to a hypothetical end-of-life scenario. RECENT FINDINGS: Historically, safety plans to consider risk management involved a culture of risk aversion supported by sometimes paternalistic motives intended to protect vulnerable clients. New findings in the literature engage in a process that respects the ethical principles underlying harm reduction philosophies. The literature also argues for a perspective that moves away from viewing risk as only harmful, to one that supports a positive understanding of risk as part of a client's informed choice. SUMMARY: A risk support management plan, based on a positive approach, can provide a way to both support a client's choice to live at risk, anticipate for expected complications, and inform the creation of a contingency plan to address concerns as they may arise. The added value of a structured approach like the one proposed here for risk support management plans is that it provides adequate due diligence and informed decision-making when planning for risk-taking in complex situations.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".