Fact book on aging in British Columbia, 3rd Edition
Bibliographic record
Abstract
Table of ContentsForeword; 1. Size of the Elderly Population; 1.1 Past Trends and Future Growth; 1.2 Population Aging Within the Older Population Itself; 1.3 Median Age of the Population; 2. Sex Ratio; 3. Mortality; 3.1 Trends in Life Expectancy; 3.2 Deaths and Mortality Rates; 3.3 Causes of Death; 3.4 Cancer; 4. Marital Status; 5. Geographic Distribution and Mobility; 5.1 The Older Population of B.C. in Relation to Other Provinces; 5.2 Rural-Urban Distribution; 5.3 Geographic Distribution Within British Columbia; 5.3.1 Geographic Distribution Within the Greater Vancouver Regional District; 5.3.2 Geographic Distribution Within the Capital Regional District; 5.4 Mobility; 5.4.1 Total Population and Population Aged 65+;5.4.2 Distance Moved; 6. Ethnic Composition; 6.1 Predominant Groups; 6.2 Proportion of Ethnic Origin Groups Aged 65+; 6.3 Visible Minorities; 6.4 Mother Tongue; 6.5 Immigrants; 6.6 Aboriginal Peoples; 7. Living Arrangements; 7.1 Persons by Type; 7.2 Types of Household; 8. Housing; 8.1 Home Ownership 8.2 Housing Costs; 8.3 Preferred Structural Type; 9. Education 9.1 Educational Attainment; 9.2 Educational Attendance; 10. Labour Force; 10.1 Labour Force Participation Trends; 10.2 Full and Part-time Employment; 11. Unpaid Activities; 11.1 Unpaid Housework; 11.2 Unpaid Caregiving to Seniors; 11.3 Unpaid Childcare; 12. Income; 12.1 Median Income of Individuals; 12.2 Poverty Rate; 12.3 Incidence of Low Income Among Economic Families; 13. Disabilities; 13.1 Disability Rates;13.2 Seniors with Disabilities in Private Households and Institutions; 13.3 Nature of Disabilities; 13.4 Severity of Disabilities; 14. Health Service Utilization; 14.1 Hospitals; 14.2 Continuing Care; 14.3 Health Service Expenditures
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".