Does "it get better"?: childhood bullying and the positive mental health of LGBT Canadians in adulthood
Bibliographic record
Abstract
Lesbian, gay, bisexual, transgender, and queer (LGBTQ) individuals belong to one of the most discriminated groups in Canada and abroad. Using minority stress theory, researchers have found that such a climate of homophobia and transphobia has been associated with negative mental health outcomes among LGBTQ individuals. However, despite the presence of campaigns such as the “It Gets Better Project”, few academics have explored whether it does “get better” for LGBTQ people who have experienced anti-LGBTQ prejudice in their youth; and further, few academics have explored whether such individuals who have experienced prejudice can flourish in terms of their positive mental health. Positive mental health explores how individuals can be resilient and thrive within society; it looks at positive feelings people have about themselves, others and society. However, it does not mean an absence of negative mental health outcomes, in that individuals with depression, for example, can also flourish in respect to their positive mental health. The purpose of the current thesis is to extend minority stress theory in order to consider the long-term relationship between childhood bullying and positive mental health among LGBTQ adults. Using a hierarchical ordinary least squares regression model and a sample of LGBTQ education professionals, the current study found that there was a negative long-term relationship between childhood bullying and positive mental health among LGBTQ individuals. Further, disclosing one’s LGBTQ identity, and measures of LGBTQ-inclusion and support were all associated with flourishing levels of positive mental health, although they did not fully mitigate the effects of childhood bullying. The implications of the results were discussed in relation to future practices to reduce homophobia and transphobia within society, and in turn, reduce minority stress and maintain a flourishing state of positive mental health among all LGBTQ members.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".