Self‐Esteem: A Human Solution to the Problem of Death
Bibliographic record
Abstract
Abstract Terror management theory (TMT) posits that the need for self‐esteem develops out of the socialization process in which children learn to abide by parental and, eventually, societal standards of ‘goodness’ to feel securely embedded in a cultural belief system. According to TMT, feeling safely immersed in a meaningful conception of reality (i.e., the cultural worldview) ultimately functions to protect people from anxiety due to the uniquely human capacity to be cognizant of their eventual death. After presenting the basic tenets of this perspective, we review several lines of research supporting it and then address some common questions and criticisms of the theory such as how is a TMT view of anxiety consistent with evolutionary principles, why do people commit suicide, and how is self‐esteem pursued in non‐Western, self‐effacing cultures? Finally, we discuss some implications of TMT for understanding social problems and for pursuing meaning and self‐esteem in healthier, more socially productive ways.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".