The Relationships Between Personality Traits, Death Attitudes, and Ageism
Bibliographic record
Abstract
Ageism, or the prejudicial attitude towards other age groups, especially older adults, is seen as one of the most prevalent preconceived judgment in Canadian society. Present in many domains of society including the workplace and healthcare system, the detrimental effects of ageism are well-established. With effects ranging from financial problems to mental and physical deterioration, the underlying structure of ageism requires more exploration if we are to attempt a reduction of its presence. Terror Management Theory suggests that aversive attitudes towards different groups, in this case, older adults, are rooted in defensive attitudes towards the fear of death. Every human being unique, individual differences also have a role to play in the way people perceive older adults. The present study attempts to better understand the role of attitudes towards death and personality on ageism. Since the role of avoidant and acceptant attitudes towards death is, to the author’s knowledge, understudied in the ageism literature, this study builds on existing knowledge by examining the unknown role of avoidance and acceptance of death on ageism. Four hundred and thirty-six undergraduate students enrolled in first-year psychology classes volunteered to participate in an online questionnaire. The questionnaire assessed demographic information, personality traits, attitudes towards death and attitudes towards older adults. Results suggest the association between prosocial personality traits (Extraversion, Agreeableness, Consciensciousness and Openness) and decreased ageism. The existential fear of death and of the fear of a loved one going through the process of dying were associated with more aversion towards older adults, while the fear of a loved one’s death indicated lower levels of discrimination. Belief in death as leading to an after-life indicated a decreased tendency to avoid older adults. Correlates of personality and attitudes towards death were also explored. Implications and future areas of research are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".