Bibliographic record
Abstract
GENERALITIESIn Canada, the federal authority and the provincices share jurisdiction for marriage.Same-sex marriage is legally authorized everywhere in Canada since 2005.Current statistics concerning the entire Canadian territory are based on a census conducted in 2006, thus less than a year after the legalization of same-sex marriage by the Canadian federal parliament (July 2005).It was the first time that the Canadian statistics office counted same-sex married couples.In 2006, the answers to the census showed a proportion of 0.6% of samesex couples in comparison to the total number of couples in Canada.Moreover, 16.5% of the same-sex couples were married.Finally, still in 2006, 53.7% of same-sex married couples were male couples and 46.3% were female couples.In regard to the province of Quebec, the Statistic Institute of Quebec recently published a report concerning the five first years since the legalization of same-sex marriage.Observations: Between 2004 and 2008, 2% of the marriages celebrated in Quebec were same-sex marriages; Between 2004 and 2008, 12% of legally joined couples opted for a civil union; About a quarter of same-sex couples opted for a religious marriage (against 64% for married couples of opposite sex). II. QUESTIONS1.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.014 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.109 | 0.043 |
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".