The U Shape of Happiness Across the Life Course: Expanding the Discussion
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 notion of a U shape in happiness-that well-being is highest for people in their 20s, decreases to its nadir in midlife, and then rises into old age-has captured the attention of the media, which often cite it as evidence for a midlife crisis. We argue that support for the purported U shape is not as robust and generalizable as is often assumed and present our case with the following arguments: (a) Cross-sectional studies are inadequate for drawing conclusions about within-person change in happiness across the life span; (b) cross-sectional evidence with respect to the ubiquity and robustness of the U shape in general levels of happiness and life satisfaction is mixed; (c) longitudinal support for the U shape in happiness and life satisfaction is also mixed; (d) longitudinal research on subjective indicators of well-being other than general levels of happiness and life satisfaction challenges the U shape; (e) when asked to reflect on their lives, older adults tend to recall midlife as one of the more positive periods; and (f) a focus on a single trajectory of well-being is of limited scientific and applied value because it obscures the diversity in pathways throughout life as well as its sources. Understanding happiness across the life course and moving the research field forward require a multidisciplinary, collaborative approach.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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