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
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.205 | 0.128 |
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".