Does fast- or slow-running time make us happier: a tribute to Mihaly Csikszentmihalyi
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
This article is written as a tribute to Mihaly Csikszentmihalyi (1934–2021), whose Experience Sampling Method and ideas about the relationship between time passage and optimal experience (flow) laid the ground for the analyses of the effects of perceived passage of time, time pressure, and social rhythms of life on the feelings of happiness. Popular literature abounds with statements that the accelerated rhythms of modern life are taxing us emotionally. This article examines findings that justify both our intuitive fears of the accelerated rhythms of modern life and findings about people’s apparent enjoyment of fast-running time. Data for the analyses in the article are taken from the 2003 Experience Sampling Survey of Time Use and Well-Being, conducted at the University of Waterloo in Canada, and from Canada’s 2010 General Social Survey.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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