THE GOLDEN TRIANGLE OF HAPPINESS: ESSENTIAL RESOURCES FOR A HAPPY FAMILY
Bibliographic record
Abstract
It is normal for people to feel positive about the quality of their lives, despite the presence of challenges. Of special interest here are the challenges of caring for a child or a disabled family member. How do the adults living within such families maintain a positive self-view? Answering this question requires an understanding of subjective well-being as it applies to each individual family member and of the management system that strives to keep each person feeling positive. This paper describes various psychological components of this homeostatic management system, together with a consideration of the most useful resources to support homeostasis. Key resources have been identified by using the Personal Wellbeing Index, a seven-item scale measuring subjective well-being (mood happiness). Over many studies, researchers have found considerable agreement that three kinds of resources — “the Golden Triangle” — are consistently more relevant to subjective well-being than the others. These are feelings of satisfaction with income, relationships, and life purpose. The implications for interventions that offer support to families in need are discussed.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".