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Record W2152935145 · doi:10.2190/w7h7-te9e-1fwn-b8xd

Belief in a Just World and the Perceived Injustice of Dying Young or Old

2003· article· en· W2152935145 on OpenAlexaff
Alison L. Chasteen, Scott F. Madey

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2003
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsJust-world hypothesisInjusticeAffect (linguistics)Economic JusticePsychologySocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

We investigated how belief in a just world (i.e., that people get what they deserve) affects the perceived injustice of dying young versus dying old. Younger and older adult participants completed a measure of their just world beliefs and then were randomly assigned to read one of four newspaper articles purportedly about a person who died in an automobile accident. In the articles, both the victim's age (19 or 79) and the victim's outlook on life (concerned about the future or living for today) were varied. Results indicated that participants viewed the death of a younger victim as more unjust than the death of an older victim. Older adults, however, experienced less negative affect than did younger adults when reading the article. Older adults also expressed a higher belief in a just world (BJW) than did younger adults. In addition, BJW was related to perceived justice. Participants with a higher BJW perceived the deaths of both victims as more tragic and unjust than did those with a low BJW. The victim's outlook on life did not affect perceived justice. Implications for medical decision-making, the use of aggressive treatment, and the relative value of youth versus age are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.303
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2003
Admission routes1
Has abstractyes

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