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Record W1983529390 · doi:10.1177/0961000610390992

The importance of pleasure reading in the lives of young teens: Self-identification, self-construction and self-awareness

2011· article· en· W1983529390 on OpenAlexafffundabout
Vivian Howard

Bibliographic record

VenueJournal of Librarianship and Information Science · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsDalhousie University
FundersUniversity of Toronto
KeywordsPleasureReading (process)Salience (neuroscience)PsychologyPersonal identityIdentity (music)Social psychologyEveryday lifeDevelopmental psychologySelf-conceptAestheticsCognitive psychology

Abstract

fetched live from OpenAlex

This paper reports on a research study investigating the role of pleasure reading in the lives of 12—15 year old residents of an eastern Canadian regional municipality. Pleasure reading was found to fulfil three broad functions: it enhanced academic performance, social engagement and personal development. In conclusion, the study confirms that teens, like adults, unconsciously use pleasure reading as a means of everyday life information seeking and the reasons for personal salience identified in the foregoing discussion have a strong developmental theme: in their pleasure reading, teens gain significant insights into mature relationships, personal values, cultural identity, physical safety and security, aesthetic preferences, and understanding of the physical world, all of which aid teen readers in the transition from childhood to adulthood.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.252
Teacher spread0.206 · 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

Citations103
Published2011
Admission routes3
Has abstractyes

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