Online Externalizing Metaphor Therapy for Mild-to-Moderate Anxiety: A Pilot Study with Young Adults
Bibliographic record
Abstract
Anxiety has become more prevalent in recent years, exacerbated by the Covid-19 pandemic, although it remains largely unrecognized and untreated. Thus, there is a need for effective, short, and accessible forms of intervention. Externalizing Metaphor Therapy (EMT) is a post-modern brief treatment for mild to moderate anxiety. Its efficacy is herein analyzed by examining the process and outcomes of a four session online individual therapy with 4 young adults. Qualitative and quantitative data on individual change provides preliminary support for the efficacy of EMT at post-treatment and follow-up. Additionally, EMT therapist’s descriptions and participants’ perspectives on the process of change suggests putative mediators of EMT in the transformation process. Future randomized controlled trials using wider samples are needed to confirm these provisional results.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".