Application of the limited strength model of self-regulation to understanding exercise effort, planning and adherence
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
The limited strength model posits that self-regulatory strength is a finite, renewable resource that is drained when people attempt to regulate their emotions, thoughts or behaviours. The purpose of this study was to determine whether self-regulatory depletion can explain lapses in exercise effort, planning and adherence. In a lab-based experiment, participants exposed to a self-regulatory depletion manipulation generated lower levels of work during a 10 min bicycling task, and planned to exert less effort during an upcoming exercise bout, compared with control participants. The magnitude of reduction in planned exercise effort predicted exercise adherence over a subsequent 8-week period. Together, these results suggest that self-regulatory depletion can influence exercise effort, planning and decision-making and that the depletion of self-regulatory resources can explain episodes of exercise non-adherence both in the lab and in everyday life.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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