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Record W2193638049 · doi:10.2224/sbp.2015.43.10.1741

Undergraduate Students' Attitudes Toward, and Personality Correlates in Relation to, Older Adults

2015· article· en· W2193638049 on OpenAlexaboutno aff
Sarah Mansfield-Green, Nakita-Rose Morrisseau, Paul M. Valliant, Joseph M. Caswell

Bibliographic record

VenueSocial Behavior and Personality An International Journal · 2015
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPersonalityBig Five personality traitsPerceptionPopulationConsciousnessSensation seekingClinical psychologyDevelopmental psychologySocial psychologyDemography

Abstract

fetched live from OpenAlex

Attitudes toward older adults have been implicated as a variable likely to influence quality of life and care later in life. Given the trend toward an increase in the proportion of the population aged over 65 years in Canada, it is imperative to understand these attitudes. Prior researchers have indicated that personality traits are likely to influence individuals' attitudes. Therefore, we examined attitudes toward older adults and the personality correlates associated with these attitudes. Participants ( N = 171 undergraduate students) completed the Kogan's Attitude toward Old People Scale and the 16 Personality Factor Questionnaire. Overall positive attitudes toward older adults were observed. Evaluation of the data showed that positive attitudes were associated with elevated 16PF scores, specifically, for rule-consciousness, warmth, emotional stability, and tension, with women exhibiting particularly high levels of warmth. Additional findings related to exposure to older adults and perceptions of the older persons themselves 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 score0.060
Threshold uncertainty score0.601

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 integrity0.0000.001
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 head0.104
GPT teacher head0.461
Teacher spread0.357 · 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

Citations19
Published2015
Admission routes1
Has abstractyes

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