Mapping cognition across lab and daily life using experience-sampling
Bibliographic record
Abstract
This dataset contains 8459 multidimensional experience-sampling (mDES) probes from a sample of 370 different subjects in lab and daily life settings across Canada and the UK, collected from 2017 to 2022. mDES data includes 9 items as well as data regarding subjects' activity, social environment, and physical location at the time of probing. This dataset is an aggregation of 5 previously published datasets, referenced in the 'dataset' column of the dataframe. The datasets' previous publications are: Konu et al., 2020 ("konu2020"): mDES during a Go/No-Go task in fMRI in the UK. https://doi.org/10.1016/j.neuroimage.2020.116977 Ho et al., 2020 ("mckeown_pre"): mDES during daily life in the UK before the COVID lockdown. https://doi.org/10.1016/j.neuroimage.2020.116765 Konu et al., 2021 ("konu2021"): mDES during a battery of cognitive tasks in a lab setting in the UK https://doi.org/10.1016/j.concog.2021.103139 Mckeown et al., 2021("mckeown_post"): mDES during daily life in the UK during the COVID lockdown. https://doi.org/10.1073/pnas.2102565118 Mulholland et al., 2023 ("mulholland"): mDES during daily life in Canada after the COVID lockdown had been lifted. https://doi.org/10.1016/j.concog.2023.103530
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.007 |
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 teacher head, 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".