Housing plans of the oldest: ageing in semi-rural areas in Sweden
Bibliographic record
Abstract
A number of smaller municipalities have decreasing population rates. Generally, the young move out, increasing the proportion of older people. To increase our understanding of the living conditions of an ageing population in small municipalities, a postal survey was conducted in three small, semi-rural municipalities in southern Sweden. In the survey the respondents answered questions about their living situation and their housing plans. The aim of this study was to investigate the housing situation and housing plans of the very old in semi-rural areas and research questions analysed for this study concerned the current housing situation and plans for future housing. A total of 1386 surveys were sent out in March 2014, to all inhabitants aged 80 years or more, residing in the ordinary housing market in the three municipalities, the response rate was 60%. The results show that most of the respondents were firmly rooted in the area as most of them had lived in the municipality for more than 20 years and 60% had lived in their current dwelling for more than 20 years. Ageing in place was the dominating plan, although one quarter of the respondents answered that they did not know what would happen in the future. Those who planned to move wanted to move to housing that required less maintenance and to a more central location. Residential mobility is at play also in old age as 27% of the respondents had moved at some point during the last 10 years, i.e., after the age of 70.
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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 | 0.000 |
| 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) | 0.000 | 0.000 |
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".