“Don't need [therapy]! Not necessary, that's what we're for!”: Does content from fibromyalgia Facebook peer support groups emulate psychological flexibility principles?
Bibliographic record
Abstract
Objective: Many persons with fibromyalgia (FM) use online peer support groups (OPSGs) to address unmet emotional or psychological needs. Some OPSG members have suggested that participation in an OPSG is a viable substitute for professional psychological services, however, no published research exploring this claim was identified. Methods: Discussion content collected from three Facebook FM OPSGs was thematically analyzed to explore whether the content posted in FM OPSGs emulated content consistent with the psychological flexibility model underlying Acceptance and Commitment Therapy (ACT) - an evidence-based psychotherapy for chronic pain conditions. Results: The content posted in OPSGs did not emulate and often contradicted the core psychological flexibility processes or skills emphasized in ACT programs. Conclusion: Participation in an FM OPSG should be approached cautiously. Content from the FM OPSGs should not be considered a substitute for professionally delivered ACT, although participation may provide emotional support to help individuals move towards readiness for active psychotherapy. Innovation: This research represents a novel application of the psychological flexibility model underlying ACT to assess the potential therapeutic value of a peer support community. Additionally, it is the first to clarify that content in FM OPSGs is not aligned with psychological flexibility processes.
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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 | 0.012 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".