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Record W2082709539 · doi:10.1080/03610730701525428

Does Aging Affect the Use of Shifting Standards?

2007· article· en· W2082709539 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExperimental Aging Research · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyStereotype (UML)Affect (linguistics)Stereotype threatDevelopmental psychologyScale (ratio)Young adultSocial psychology

Abstract

fetched live from OpenAlex

Prior research on the use of stereotypes in social judgments has shown that whether young adults make stereotype-consistent or -inconsistent judgments depends in part upon the response scale that is used. This shifting standards effect in stereotype use was examined in the present study to determine whether older adults, who tend to rely on stereotypes more than younger adults, would also show a similar effect. Young and older adults evaluated the height of male and female targets using either an objective or subjective scale. No age differences were found, with both age groups producing stereotype-consistent judgments (i.e., men are taller than women) on an objective scale, but stereotype-inconsistent judgments (i.e., men and women are equally tall) on a subjective scale. These results suggest that the shifting standards effect holds across the adult life span.

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.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.209
GPT teacher head0.542
Teacher spread0.333 · 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