Prospects for a clinical science of mindfulness-based intervention.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mindfulness-based interventions (MBIs) are at a pivotal point in their future development. Spurred on by an ever-increasing number of studies and breadth of clinical application, the value of such approaches may appear self-evident. We contend, however, that the public health impact of MBIs can be enhanced significantly by situating this work in a broader framework of clinical psychological science. Utilizing the National Institutes of Health stage model (Onken, Carroll, Shoham, Cuthbert, & Riddle, 2014), we map the evidence base for mindfulness-based cognitive therapy and mindfulness-based stress reduction as exemplars of MBIs. From this perspective, we suggest that important gaps in the current evidence base become apparent and, furthermore, that generating more of the same types of studies without addressing such gaps will limit the relevance and reach of these interventions. We offer a set of 7 recommendations that promote an integrated approach to core research questions, enhanced methodological quality of individual studies, and increased logical links among stages of clinical translation in order to increase the potential of MBIs to impact positively the mental health needs of individuals and communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it