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Record W1919555843 · doi:10.18438/b8rs41

Pleasure Reading Offers Educational, Social, and Personal Benefits for Young Teenagers

2012· article· en· W1919555843 on OpenAlexvenueaboutno aff
Ann Medaille

Bibliographic record

VenueEvidence Based Library and Information Practice · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPleasureReading (process)PsychologyPerspective (graphical)PsychosocialEntertainmentFocus groupReading motivationEmpathyGrounded theoryDevelopmental psychologySocial psychologyQualitative researchSociologyComputer science

Abstract

fetched live from OpenAlex

Objective – To investigate the role that pleasure reading plays in the lives of young teenagers.
 
 Design – A series of focus groups were used.
 
 Setting – Focus groups were held in nine junior high schools in an eastern Canadian municipality.
 
 Subjects – Participants consisted of 68 students in grades 7, 8, and 9, ranging in age from 12-15 years old. Seventy percent of participants were girls and 30% were boys. 
 
 Methods – A semi-structured interview protocol was used. Responses were coded and categorized by using QSR NUD*IST, and a grounded theory approach was used to analyze the data.
 
 Main Results – This study found that young teenagers derive numerous benefits from pleasure reading. From an educational perspective, pleasure reading helps improve literacy and thinking skills, and helps young teenagers clarify and explore career goals. From a social perspective, pleasure reading helps young teenagers understand historical and current events, helps them develop compassion and empathy, empowers them to develop and act on their beliefs, and helps them to understand the consequences of risky behaviors. From a personal perspective, pleasure reading provides young teenagers with entertainment, relaxation, reassurance, a creative outlet, and a means of escape.
 
 Conclusion – Reading for pleasure provides a means of everyday life information seeking for young teenagers. It helps them improve skills and learn about themselves, their relationships, and their values, all of which help them to make the transition 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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.145
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 head0.036
GPT teacher head0.303
Teacher spread0.266 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations2
Published2012
Admission routes2
Has abstractyes

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