Replication Data for: Sexual Identity-Behaviour Discordance in Canada
Bibliographic record
Abstract
This paper uses two surveys to examine sexual identity-behavior discordance in Canada. The first is the Sex in Canada survey (SCS), which is a private survey of 2,303 Canadians. The second is the 2015–2016 Canadian Community Health Survey (CCHS), which is a large nationally representative government-administered survey with 109,659 respondents. Results from the CCHS show that identity-behavior discordance and overall rates of same-sex contact are lower in Canada than in the US, UK, or Australia. An estimated .7 percent of males and 2.7 percent of females aged 15–64 who had had lifetime sex identified as heterosexual yet have had same-sex contact, figures which equate to an estimated 65,700 males and 255,100 females. Few demographic factors were associated with discordance. Results from the SCS show that about two-thirds of heterosexuals with identity-behavior discordance were moderately supportive of LGBQ rights and one-third were moderately homophobic. Future research will need to uncover why a lower proportion of Canadians report same-sex partners and identity-behavior discordance than their counterparts in the US, UK, or Australia.
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 | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.010 |
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".