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Record W4389818428 · doi:10.18438/eblip30410

Teens’ Vision of an Ideal Library Space: Insights from a Small Rural Public Library in the United States

2023· article· en· W4389818428 on OpenAlexvenueno aff
Xiaofeng Li, YooJin Ha, Simon Aristeguieta

Bibliographic record

VenueEvidence Based Library and Information Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
FundersUniversity of Pennsylvania
KeywordsThrivingSpace (punctuation)Ideal (ethics)Class (philosophy)School librarySociologyMiddle classPopulationPsychologyPublic relationsComputer scienceLibrary sciencePolitical scienceSocial science

Abstract

fetched live from OpenAlex

Objective – This study delves into the perspectives of teenagers regarding their desired teen space within a small rural public library in the United States. Methods – To capture the richness of their thoughts, a visual data collection method was employed, wherein 27 8th-grade participants engaged in a drawing activity during an art class at a local middle school. Two additional teens were recruited for individual semi-structured interviews. Results – Through this creative exercise, the study unveiled the various library activities, amenities, books, and visual designs that resonated with the teens, as they envisioned their ideal teen space. Conclusion – The study’s findings hold practical implications for librarians working with this population, offering valuable insights to enhance and optimize teen services at the library. By aligning the library’s offerings with the desires of the young patrons, the potential for a thriving and engaging teen community within the library is enhanced.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0020.476
Open science0.0010.000
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 head0.031
GPT teacher head0.296
Teacher spread0.265 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2023
Admission routes1
Has abstractyes

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