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Record W2566352870

Personal Growth, Habits and Understanding: Pleasure Reading Among First-Year University Students

2010· article· en· W2566352870 on OpenAlexaboutno aff
Melanie Parlette-Stewart, Vivian Howard

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsPleasureReading (process)PsychologyMathematics educationComputer scienceMedical educationMultimediaMedicineLinguistics
DOInot available

Abstract

fetched live from OpenAlex

<b>Objectives</b> – This study examines the reading habits and experiences of first-year undergraduate students at Dalhousie University and the University of King’s College in Halifax, Nova Scotia, Canada.<br><b>Methods</b> – First-year undergraduate university students (aged 18 to 20) were recruited to take part in focus group discussions and responses were analysed to examine the following topics: (1) the role of reading in their lives, both academic and personal; (2) the development of reading habits from childhood; (3) reading engagement strategies; and (4) selection strategies.<br><b>Results</b> – This study suggests that reading for pleasure is a well-established habit amongst many first-year undergraduate students. First-year undergraduates primarily read for pleasure in order to relax but also recognize that pleasure reading can play a positive role in their academic performance, enhancing their range of background knowledge as well as their active vocabulary.<br><b>Conclusions</b> – The conclusions of this research provide recommendations for librarians and university administration to engage students and increase rates of retention in postsecondary institutions. In particular, recommendations related to the importance of pleasure reading collections, campus reading programs, book clubs, readers’ advisory services and quiet and comfortable reading areas in academic libraries are provided.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.249
GPT teacher head0.523
Teacher spread0.274 · 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 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

Citations16
Published2010
Admission routes1
Has abstractyes

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