More Than a Feeling? An Empirical Analysis of the Dual-Continua Model on a National Sample of Lesbian, Gay, and Bisexual Identified Canadians
Bibliographic record
Abstract
The goal of the study is to investigate whether positive mental health complements mental illness within a theoretically informed (the dual-continua model) and psychometrically tested (the Mental Health Continuum-Short Form) framework. National-level, population-based data from the 2012 Canadian Community Health Survey on Mental Health (CCHS-MH) was used, with comparisons between sexual minority and heterosexual adults. Results show that gay, lesbian, and bisexual Canadians have substantially lower rates of positive mental health and are more likely to have been diagnosed with a mental illness, with the disparities between health and illness being the most pronounced among lesbians and bisexual females. Results show considerable support for the dual-continua model, which posits that the absence of health does not automatically translate into the presence of illness, and vice versa. Suggestions are made for practitioners and researchers toward the use of the dual-continua model as a surveillance tool, especially among sexual minority individuals.
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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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 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".