Bibliographic record
Abstract
Developed for specialists who want to increase the physical activity (PA) level of type 2 diabetic and at-risk individuals, the 10-week DiabetAction program introduced participants to a wide variety of cardiovascular resistance, balance, and flexibility exercises. Thirty-three of 48 individuals completed the intervention in community-based settings, while 25 of 29 participants completed control group evaluations. A significant time effect (p < .05) was measured for leisure PA level, resting systolic and diastolic blood pressure, estimated aerobic capacity, and dynamic balance (nonsignificant group effect; p > .05). The physical functioning domain of quality of life improved in the experimental group, while the vitality domain improved in the control group (significant interactions; p < .05). Follow-ups of the experimental group revealed that they maintained postintervention parameters (leisure PA level, proportion of participants > or = 150 min of PA weekly, estimated aerobic capacity) or improved (mental component summary measure of quality of life). Ninety-four percent of the experimental group was "very" or "extremely" satisfied with the program, and participants perceived improvements in PA level, health, and tiredness postintervention. In conclusion, participants in community-based settings improved on many of the measured parameters and maintained PA practice up to 6 months postintervention. However, since control participants also saw improvements, further controlled studies will be needed.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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".