Therapeutic Processes in Clinical Interventions : A View of Qualitative Methodological Approaches
Bibliographic record
Abstract
This article examines several qualitative methods to capture and analyze processes in therapeutic and clinical interventions. The study of therapeutic processes provides an understanding of what leads to changes in clinical interventions. This is a goal of any therapeutic intervention. This interest should allow us to try to identify what the therapists do and think they are doing, how they do it, how they think about their interventions, and what happens during the session that might explain changes. These types of studies require that researchers provide clarifications about their epistemological and methodological choices. To meet that requirement, we propose to review a range of issues, methodologies, and tools – which come from qualitative research - that guide us in conducting research in the psychotherapeutic and clinical field. The aim of our article is to put forward a methodological framework for researchers to better explore the patient’s or the therapist’s lived-experience and better reveal, moment-to-moment, the clinical practice.
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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 | 0.025 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".