We'd Like to Ask You Some Questions, But We Have to Find You First: An Internet-Based Study of Lesbian Clients in Therapy with Lesbian Feminist Therapists
Bibliographic record
Abstract
SUMMARY This paper explores some issues related to an Internet-based study dealing with lesbian clients' perceptions of their lesbian feminist therapists. A 60-item questionnaire was posted on a Web site so respondents could complete it online, submitting answers anonymously through a forwarding service. Respondents were recruited through postings to 20 listservs that focus on gay/lesbian/bisexual issues or the psychology of women. Data collection proceeded rapidly, with 182 responses within seven weeks. Results indicated that the therapist's sexual and philosophical orientation was important to the client, but that the clients tended to make assumptions about the latter. Specific activities typical of feminist therapy were often missing or were not recollected by clients. The advantages of using the Internet to draw a wide range of respondents is set against the problems of generalizability, the difficulty in communicating directly with respondents, and the sample bias inevitable in using self-identified volunteers who have Internet access.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".