Can Honorific Awards Give Us Clues about the Connection between Socioeconomic Status and Mortality?
Bibliographic record
Abstract
Social epidemiologists Marmot and Wilkinson argue that relative deprivation is the dominant mechanism through which socioeconomic status (SES) affects mortality. If such an argument is valid, we would expect to consistently see the influence of relative deprivation in situations where two or more highly qualified and very similar individuals are nominated in a status competition, but only one receives the status boost conferred by winning. We studied mortality experiences of Emmy Award winners, Baseball Hall of Fame inductees, and presidents and vice presidents—comparing each to nominated losers in the same competition. Our findings and results of similar studies fail to show consistent advantages for winners. The association between winning and longevity is sometimes positive, sometimes negative, and sometimes nonexistent. We conclude that the critical processes determining the strength and direction of any status effect on longevity are changes in life circumstances that result from winning or losing, rather than the processes that inexorably flow from one’s relative position in a status hierarchy.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".