The Experiences of Lesbian, Gay, Bisexual, Transgender and Queer Students in Social Work Programs. A Study Report from the CSWE Council on Sexual Orientation and Gender Identity and Expression
Bibliographic record
Abstract
This online North American study of lesbian, gay, bisexual, transgender, and queer (LGBTQ) social work students (n=1,018) in bachelor of social work (BSW; 24%) or master’s of social work (MSW; 76%) programs explored educational experiences in 126 programs in 44 U. S. states and 7 Canadian provinces. Forty-four percent of students reported limited inclusion of LGBTQ content in classes, yet 64% indicated some degree of support for their LGBTQ identities in their programs. One-third reported homophobic experiences in programs, yet many (63%) were aware of “out” LGBTQ faculty. Overall, students reported fairly low levels of self-assessed practice readiness with specific subpopulations (i.e., gay, lesbian, bisexual, transgender), with participants reporting the highest (somewhat prepared) self-assessed readiness with gay populations and the lowest (not well-prepared) self-assessed readiness with transgender populations. Participants suggested lower readiness for their non-LGBTQ colleagues. Implications for social work education are discussed.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| 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".