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Record W2000650969 · doi:10.1177/2167696814522620

“Young People These Days … ”

2014· article· en· W2000650969 on OpenAlexfundno aff
Kali H. Trzesniewski, M. Brent Donnellan

Bibliographic record

VenueEmerging Adulthood · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of California, Davis
KeywordsFeelingYoung adultPsychologyPerceptionSample (material)Developmental psychologyAge groupsClinical psychologyDemographySocial psychology

Abstract

fetched live from OpenAlex

The current study investigated perceptions of emerging adults (aged 18–25) and found indications that ratings of attributes ascribed to this group are more negative than ratings of older groups. An Internet sample ranging in age from 18 to 87 ( N = 641) tended to have more positive feelings toward adults and older adults than emerging adults and adolescents. In particular, emerging adults were seen as more immoral, narcissistic, and overconfident than adults and less agreeable and emotionally stable. Participants generally rated today’s emerging adults as more self-centered, less hardworking, lazier, and promiscuous when compared to emerging adults of the past. Likewise, spontaneous descriptors of emerging adults were negative. A second sample of Mechanical Turk workers ( N = 1,118) was used to evaluate how perceptions of different age groups compare to ratings of the average adult. In total, we found converging evidence for the existence of negative impressions about emerging adults.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), 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

Citations23
Published2014
Admission routes1
Has abstractyes

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