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Record W4240921091 · doi:10.32920/ryerson.14646033

Millennial Readers: An Analysis of Young Adult Escapism

2021· preprint· en· W4240921091 on OpenAlexaff
Marina Demetriou

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicEducation, Sociology, Communication Studies
Canadian institutionsCarleton UniversityToronto Metropolitan University
Fundersnot available
KeywordsAudience measurementAgency (philosophy)EscapismIdentity (music)MainstreamNarrativeYoung adultPower (physics)FlourishingGender studiesPopular culturePurchasing powerPsychologySociologyMedia studiesSocial psychologyPolitical scienceSocial scienceDevelopmental psychologyLiteratureAestheticsArt

Abstract

fetched live from OpenAlex

[Introduction]: "The emphasis on the generational identity of American millennials and their portrayal in the current cultural landscape of the twenty-first century furthers the idea that millennials are exhibiting escapist tendencies by engaging themselves as a majority (fifty-five percent) of young adult readership (“New Study”). Born within 1981 and 1996, millennials (also known as Generation Y) are defined, as those that are—for reasons such as student debt, cost of living, and the financial crisis—delaying typical milestones of adulthood like obtaining a degree, securing a career, purchasing a house, and starting a family. This examination of the social and cultural factors that have affected twenty-first century American society exposes how authors have navigated a world increasingly defined by evolving identity, displacement, discrimination, and a generational lack of agency for the age-diverse young adult market. These themes—including Black Lives Matter, socio-economic hardships, and totalitarian power—have been written with younger audiences in mind, as authors attempt to mimic societal pitfalls within literature in an approachable narrative. The regression of adulthood and millennial priorities have evolved the young adult genre over the last twenty years (since the first millennials became adults), and as a result, they have generationally transitioned into a redefined version of adulthood that requires an escapist outlet."

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.138
GPT teacher head0.454
Teacher spread0.316 · 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 designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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