Legacy, Leisure and the ‘Work Hard – Play Hard’ Hypothesis
Bibliographic record
Abstract
Do people who work hard also tend to play hard? We tested this hypothesis using an online questionnaire-based study of a large volunteer sample of university undergraduate students. Participants responded to questions designed to detect variation in attraction to accomplishment/fame (or ‘work’) and attraction to leisure (or ‘play’). Additional questions were asked, for use in post-hoc exploratory analyses, to evaluate attraction to parenthood and attraction to religion, as well as assessment of mortality salience and negative mood. Using partial correlation analyses, by far the strongest pairwise relationship was between attraction to accomplishment and attraction to leisure. Both were also positively correlated with mortality salience. Multi-dimensional scaling analysis distinguished two clusters (groups) of participants suggesting two general categories of mortality anxiety buffering strategies involving legacy delusion: one incorporating primarily religion combined with parenthood — a ‘religious family-oriented’ type — and one involving primarily accomplishment (also with attraction to parenthood), but combined strongly with leisure in place of religion — a ‘secular go-getter’; the ‘work hard – play hard’ type.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".