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Record W2899712044 · doi:10.1093/geroni/igy023.2290

THE MANY FORMS OF AGEISM: AGE DIFFERENCES IN EXPERIENCE TYPE, EMOTIONAL IMPACT, AND COPING STRATEGIES

2018· article· en· W2899712044 on OpenAlexaff
Michelle Horhota, Alison L. Chasteen, Jessica J. Crumley-Branyon

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyCoping (psychology)Young adultMiddle ageDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

Young, middle-aged, and older adults described a personal experience with ageism, rated the emotional impact, and reported strategies they used to cope with the situation and with ageism experiences in general. Domain and content of the experience differed by age group in ways that were consistent with a person’s stage in life. Young and middle-aged participants reported experiencing ageism most frequently in the workplace, whereas older adults reported ageism from service workers. Within the workplace, young adults reported facing assumptions of incompetence, whereas middle-aged adults reported experiencing less respect. Consistent with emotion regulation literature, older adults reported a less negative emotional response to ageism compared to young and middle-aged adults. When asked about coping strategies, all participants reported acceptance of the specific experience they shared. In response to ageism in general, older adults reported accepting the ageist action, whereas young and middle-aged adults coped by being dismissive of the perpetrator.

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)0.000
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 score0.182
Threshold uncertainty score0.153

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.086
GPT teacher head0.428
Teacher spread0.343 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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