What Enables Self-Control? A Test of Glucose, Fructose, and Vagus Nerve Activation as Possible Factors
Bibliographic record
Abstract
This study replicated the study by Miller, Bourrasseau, and Blampain (2013) on the effects of fructose and glucose on self-control. It also investigated these authors' suggestion that self-control may be under the influence of the vagus nerve, which can be activated by forceful exhalation in the Valsalva manoeuvre. The participants (N = 101) were assigned to one of five conditions: three groups that received a solution of either glucose, fructose, or a placebo sweetener (solution condition); and two groups that underwent the Valsalva manoeuvre (VM and VM-control). Participants in the solution condition groups ingested one of the three sweeteners, whereas those in the VM and VM-control conditions were required to blow or not blow into a manometer for 15 seconds, respectively. The number of anagrams that participants subsequently completed was used to assess their level of self-control. In contrast to the results obtained by Miller et al. (2013), it was found that fructose, glucose, and VM did not increase the participants' levels of self-control compared to control subjects. These negative results concur with several recent studies which document the difficulty of replicating published findings in psychology.
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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 | 0.001 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".