Conflict in Field: LGBTQ Social Work Students’ Stories of Identity Management, Discrimination, and Practice
Bibliographic record
Abstract
This study examines students’ negative experiences in field placement related to their sexual orientation, gender identity, and expression, examining areas of conflict and emotional responses to conflicts. Using a subset of data gathered as part of a larger survey of 1,018 lesbian, gay, bisexual, transgender, and queer (LGBTQ) undergraduate and graduate social work students in the United States and Canada, an analysis is conducted on qualitative responses (N=207) to a question about conflict in the field. The authors identified six LGBTQ-related conflict themes: managing disclosure, unsupportive agency atmosphere, handling others’ discomfort, dealing with discriminatory attitudes and behaviors, bad practice with LGBTQ clients, and challenges found within an LGBTQ-serving agency. Forty student responses discussed feelings of fear, sadness, discomfort, and shame. Implications for field education with LGBTQ social work students are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".