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Record W1594058239 · doi:10.29173/slw7123

Picking the Flowers in the "Fair Garden": The Circulation, Non-Circulation, and Disappearance of Young Adult Nonfiction Materials

2007· article· en· W1594058239 on OpenAlexvenueno aff
Jennifer Burek Pierce

Bibliographic record

VenueSchool Libraries Worldwide · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsCirculation (fluid dynamics)Value (mathematics)PsychologyCover (algebra)Data collectionMedical educationMedicineSociologyComputer scienceSocial scienceEngineering

Abstract

fetched live from OpenAlex

Research and practitioner publications offer indications of the importance of nonfiction materials to young adult information needs. The present study attempts to discern patterns of adolescent information seeking by analyzing reports of unused and underused materials in the young adult collections of an individual library system. Such an approach contributes to a fuller picture of adolescent information seeking behaviors by complementing existing survey or interview-based research. The analysis shows high use of materials in areas that are nonetheless flagged by computer analysis as non-circulating. Collection analysis indicates that there is evidence that high-use items disappear from the collection at significant rates, that these items have monetary value, and that they cover topics ranging from sex and drugs to rock stars.

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)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.250
Teacher spread0.241 · 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 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

Citations1
Published2007
Admission routes1
Has abstractyes

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