Assessing the objective and subjective impacts of nature for reducing cognitive fatigue
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
Exposure to nature can help recover cognitive fatigue by enhancing working memory, attention control, and cognitive flexibility. However, these effects may be impacted by multiple confounding variables, including engagement level and baseline differences. Additionally, it remains unclear whether changes in objective restoration measures may extend to perceived fatigue as well. This study examined whether nature could reduce cognitive fatigue while controlling for initial fatigue levels and using a set of objective and subjective outcomes. Participants performed working memory and attention control tasks at pretest and posttest. Between these tests, they went through a cognitive fatigue task, followed by exposure to either nature or urban pictures on a computer. Measures of subjective fatigue, performance, and prefrontal cerebral activity were collected. While performance and neurophysiological measures were similar across conditions, nature exposure improved subjective fatigue reports, unlike urban exposure. This finding highlights how subjective and objective experiences of attention restoration may differ.
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 | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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