Bibliographic record
Abstract
British Columbia's population is aging. The percentage of people who are 65 years of age or older in this province has increased from 10.9 percent in 1981 to 12.1 percent in 1986. By the year 2001, it is predicted that a full 13.5 percent of B.C.'s population will be 65 or over. An increasing number of these senior citizens are choosing to live in small towns (those with less than 10,000 population). A review of the literature reveals that little is known about the elderly in small towns, particularly about the range of housing choices available to them. The purpose of this research is to determine the nature and extent of housing needs of the independent small town elderly in British Columbia. The main source of information about the small town elderly, their housing, and their perception of conditions was through a survey of the seniors themselves that was conducted in 16 small towns in B.C.. The results of this study reveal that housing affects the 'environmental satisfaction' of the elderly and this is reflected in their ability to cope with day to day living, their own perception of health, and their plans to move. The respondents in the survey who express the most disatisfaction with their housing conditions are those who live in single family dwellings and mobile homes, those with low incomes, women, and those over 85 years of age. The single family detached house comprises the majority of the small town housing stock. While small towns vary in the range of housing choices available to seniors, choices tend to increase with the size of the town. A review of current housing programs available in B.C. indicate that existing programs generally address urban housing needs, having little impact on B.C.'s small towns. Future projections urge planners to work towards meeting the housing needs of a growing small town senior population in B.C. Recommendations to address present and future small town housing needs of the elderly include: 1. Expand the stock of senior's rental units geared to income. 2. Expand the private rental stock. 3. Expand home support services to allow seniors to remain living independently in their own homes longer. 4. Involve the community in developing community goals for seniors.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".