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Record W4380550579 · doi:10.29173/slw8680

“What Library?”

2023· article· en· W4380550579 on OpenAlexvenueno aff
Katherine Klein

Bibliographic record

VenueSchool Libraries Worldwide · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsStaffingCharterSchool libraryLiteracyQuality (philosophy)Information literacyMedical educationPublic relationsReading (process)Political scienceBusinessSociologyPedagogyLibrary scienceMedicineComputer science

Abstract

fetched live from OpenAlex

Although charter schools are a growing segment of the US education market, they are less likely than traditional public or private schools to have dedicated library facilities, staffing, or services. Currently there is little data about what services charter schools provide to support literacy, research, or technology skill building - services commonly provided by school libraries. Without these data it is unknown whether, how, or to what extent charter schools without school libraries ensure that their students have access to these crucial learning resources. This study collected data in 87 US based K-12 charter schools across 11 states using an online survey completed by school administrators. This survey addresses library services of charter schools both with and without school library facilities. The survey shows that most charters lack facilities and staffing to provide quality school library services. In charters that have a school library the data suggests the school benefits from more services to encourage reading for fun and information literacy instruction that can improve technology use and research skills. This study informs future research and advocacy for charter school libraries.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.406
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0040.027
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.005

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 head0.028
GPT teacher head0.290
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreOther

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

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