Emotion and Family Therapy: Exploring Female and Male Clinicians' Attitudes about the Use of Emotion in Therapy
Bibliographic record
Abstract
Emotion, as a main component in family therapy, enjoys empirical support and increasing popularity, yet little is known about the clinicians who are using theoretical models inclusive of emotion. In addition, even fewer studies have looked at the role of emotion in therapy, particularly in regard to gender differences among clinicians. In order to better understand the use of emotion in therapy, 221 marriage and family therapists (MFTs) completed self-report questionnaires about emotion as a main component in practicing family therapy (Emotion in Family Therapy Questionnaire, see Appendix) and demographic data. Results indicate that both female and male participants had favorable attitudes about emotion. No significant differences existed between men and women in this sample. None of the test variables were found to significantly relate to emotion for men. For women, confidence and prevalence using emotion were significantly related to age, relationship status, work setting, and having children. Implications for training and research 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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".