Mature Happiness and Global Wellbeing in Difficult Times
Bibliographic record
Abstract
The starting point in the wellbeing research of this chapter is that life is full of suffering, just as the living environment is full of bacteria, viruses, and toxins. Therefore, a realistic strategy to research sustainable happiness needs to include at least two components: (1) the capacity to overcome or live with suffering and stress, as measured by a comprehensive misery index, and (2) the process to achieve mature happiness and flourishing despite the dark side of human existence. This two-pronged approach is based on the second wave of positive psychology (PP 2.0). At the broadest level, wellbeing research needs to be situated in the context of universal human suffering, while a middle level of theorizing needs to specify the special circumstances and people. Furthermore, a complete theory needs to integrate the best evidence and wisdom from both the East and West. Mature or noetic happiness is characterized by a sense of acceptance, inner serenity, harmony, contentment, and being at peace with oneself, others, and the world.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".