The ‘right’ place to care for older people: home or institution?
Bibliographic record
Abstract
In 2008, the Minister of Health for Iceland issued a new regulation intended to govern assessment practices related to placement in nursing homes. One of the aims of the regulation was to ensure that those with the most severe need would have priority. This would be achieved, in part, by requiring older people to exhaust all available community-based service options before an assessment for placement would even take place. The new regulation was received with some hostility and criticism on the part of older people and their relatives, who described the changed expectations as 'abandonment' by the authorities. We present our analysis of these changes by examining how older people and families are reconfigured through the new policy and argue that this 'new' practice of de-institutionalization is underpinned by a shifting epistemic and normative context that is working to create a new identity and a different way of life in advanced age in Iceland. The analysis has implications for other nations as well, as much policy related to older people is broadly informed by this idea that 'home is best', that is, the idea that more care simply needs to happen outside of institutional settings.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.036 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".