The Lesbian, Gay and Bisexual Vote in a More Tolerant Canada
Bibliographic record
Abstract
Abstract Research on the political preferences of lesbian, gay and bisexual (LGB) voters shows that they are more progressive than heterosexuals. However, few studies consider differences between heterosexual, gay/lesbian, and bisexual men and women. Furthermore, little is known about how these preferences have changed as society has become more accepting of diverse sexualities. We offer an analysis of Canadian LGB voters’ political preferences a decade and a half after same-sex marriage was legalized. Consistent with prior research, we find that gay men, and, to a lesser extent, bisexual men, are more left-wing than heterosexual men. A more novel finding is that bisexual women are the most left-wing group. Lesbian women are only slightly to the left of heterosexual women. While left-wing bisexual women are growing in number, the overall gap between LGB and heterosexual voters has remained stable across generations, because marriage narrows some of the preference gaps.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".