Sex Composition (female) by Marital Status, 2006 - Widowed (by census division)
Bibliographic record
Abstract
In 2006, 49.4% of males and 46.5% of females aged 15 years and over were legally married (and not separated), while 2.7% of the males and 3.2% of the females were separated, but still legally married. The male and female proportions for divorced people were 7.2% and 8.8% respectively. The gender gaps in the widowed and never married categories were larger: 2.5% of males and 9.7% of females were widowed while 38.2% of males, but only 31.8% of females were never legally married. In the case of the never married population 15 years of age and over, the highest proportions occurred in Quebec (46.8% of men and 40.0% of women), and the three territories (Yukon: 46.6% of men and 40.7% of women; Northwest Territories: 54.4% of men and 49.4% of women; and Nunavut: 63.4% of men and 59.2% of women). On the other hand, the sexual divergence of rates between males and females never legally married was highest in Alberta (37.7% of males versus 30.4% for females or a 7.3% difference) and Saskatchewan (36.6% of males versus 29.3% for females or a 7.3% spread). For the widowed population, this disparity was most pronounced for Saskatchewan (2.7% widowers versus 11.6% widows or an almost 9% difference). The map shows by census division the marital status of the population 15 years of age and over by gender.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".