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Record W2769406102 · doi:10.31234/osf.io/pkvxa

Is perfectionism rising over time? A meta-analysis of birth cohort differences from 1989 to 2016

2018· preprint· en· W2769406102 on OpenAlexaboutno aff
Thomas Curran

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerfectionism (psychology)IndividualismPsychologyDemographySocial psychologyCohortScale (ratio)Developmental psychologySociologyMedicinePolitical scienceGeography

Abstract

fetched live from OpenAlex

From the 1980’s onwards, neoliberal governance in the US, Canada, and the UK has emphasized competitive individualism and people have seemingly responded, in kind, by agitating to perfect themselves and their lifestyles. In this study, we examine whether cultural changes have coincided with an increase in multidimensional perfectionism in college students over the last 27 years. Our analyses are based on 164 samples and 41,641 American, Canadian, and British college students, who completed the Multidimensional Perfectionism Scale (Hewitt & Flett, 1991) between 1989 and 2016 (70.92% female, Mage = 20.66). Cross-temporal meta-analysis revealed that levels of self-oriented perfectionism, socially prescribed perfectionism, and other-oriented perfectionism have linearly increased. These trends remained when controlling for gender and between-country differences in perfectionism scores. Overall, in order of magnitude of the observed increase, our findings indicate that recent generations of young people perceive that others are more demanding of them, are more demanding of others, and are more demanding of themselves.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0750.001

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 head0.071
GPT teacher head0.351
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

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

Citations8
Published2018
Admission routes1
Has abstractyes

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