Stigma, Vulnerability, and Resilience: The Psychosocial Health of Sexual Minority and Gender Diverse People in Canada
Bibliographic record
Abstract
Stigma, Vulnerability, and Resilience: The Psychosocial Health of Sexual Minority and Gender Diverse People in Canadaline chamberland and elizabeth Saewyc this special edition of the Canadian Journal of Community Mental Health features a range of contributions that explore the mental health of "sexual and gender minorities," a term that encompasses people who identify as gay, lesbian, bisexual, transsexual, transgender, two-spirited, queer, and questioning (lgbtQ people), as well as people who would choose other labels (or no labels) but whose sexual attractions or behaviours, gender identity or gender expression diverges from the heteronormative models that dominate most social contexts in canada.From a sociological perspective, this minority status is not due primarily to the size of the population or its various sub-groups, but from the stigma they are assigned because of their sexual orientation or their gender identity.despite relatively recent legislative victories, such as access to marriage for same-sex couples, the individuals and groups who make up sexual and gender minorities continue to be marginalized, which impedes their full participation as citizens (Fraser, 2005).From a mental health perspective, lgbtQ people can be considered a vulnerable population.Several studies in the past decade have documented mental health inequities compared to their heterosexual peers, such as higher rates of depression, anxiety, alcoholism, problem substance use, and suicidality, whether among adults (Julien and chartrand, 2005) or among adolescents (for a review, see Saewyc, 2011).it has been theorized that sexual and gender minorities face these inequities because of the extent they are targeted for stigma, marginalization, and discrimination throughout society, i.e., minority stress theory, which was first developed by brooks in 1981 in research with lesbian women, then extended by meyer in 2003 in research with gay and bisexual men, and expanded by Hatzenbuehler in 2009.However, there are relatively fewer canadian studies connecting theory and evidence, empirically linking that stigma and discrimination with mental health.in a recently published report (institute of medicine [iOm], 2011), a committee of u.S.-based experts were tasked with listing the issues and research needs with regard to the health of sexual and gender minorities.they highlighted the need for more research that better reflects the diversity of individuals and groups who are included under the term "sexual minorities."For a number of reasons, notably the need to respond Canadian Journal of Community Mental Health Downloaded from www.cjcmh.comby 192.241.65.5 on 02/10/24
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".