Oppression and Discrimination among Lesbian, Gay, Bisexual, and Transgendered People and Communities: A Challenge for Community Psychology
Bibliographic record
Abstract
Lesbian, gay, bisexual, and transgendered (LGBT) people continue to experience various forms of oppression and discrimination in North America and throughout the world, despite the social, legal, and political advances that have been launched in an attempt to grant LGBT people basic human rights. Even though LGBT people and communities have been actively engaged in community organizing and social action efforts since the early twentieth century, research on LGBT issues has been, for the most part, conspicuously absent within the very field of psychology that is explicitly focused on community research and action--Community Psychology. The psychological and social impact of oppression, rejection, discrimination, harassment, and violence on LGBT people is reviewed, and recent advances in the areas of LGBT health, public policy, and research are detailed. Recent advances within the field of Community Psychology with regard to LGBT research and action are highlighted, and a call to action is offered to integrate the knowledge and skills within LGBT communities with Community Psychology's models of intervention, prevention, and social change in order to build better theory and intervention for LGBT people and communities.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.007 | 0.006 |
| 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".