MétaCan
Menu
Back to cohort
Record W4388714383 · doi:10.29173/slw8716

Reading Perceptions of Intrinsically Motivated High School Juniors

2023· article· en· W4388714383 on OpenAlexvenueno aff
Judy A. Henning, Sherry R. Crow

Bibliographic record

VenueSchool Libraries Worldwide · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsPleasureReading (process)PsychologyReading motivationPerceptionEthnic groupPedagogySocial psychologyMathematics educationSociologyLinguistics

Abstract

fetched live from OpenAlex

Studies show pleasure reading results in academic benefits but declines between elementary and secondary years. ​​The question addressed is “what are the experiences in the lives of juniors (aged 16-18) that foster intrinsic motivation to read for pleasure?” Juniors from four mid-western U.S. schools with varied ethnic and socio-economic profiles were identified as highly and distinctly intrinsically motivated for pleasure reading. Interviews revealed participants excelled academically and had family members who were readers. They read to escape stress, occupy time, and investigate careers. Rarely reading for rewards, they were “opportunistic readers.” Relationships with librarians were important in finding good books to read. The purpose of this study is to provide educators and librarians with insights into high school students’ needs to facilitate reading for pleasure.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.277
Teacher spread0.260 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueSchool Libraries WorldwideSame topicLibrary Science and AdministrationFrench-language works237,207