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Record W4387857200 · doi:10.29173/slw8695

Power of Full-Time Certified School Librarians in Missouri

2023· article· en· W4387857200 on OpenAlexvenueno aff
René Burress, Charlene Atkins, Bryan McDonald, Darrell Burress

Bibliographic record

VenueSchool Libraries Worldwide · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsStudent achievementCertificationMedical educationMathematics educationPsychologyAcademic achievementLibrary scienceMedicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

This study examines the impact of school librarian full-time equivalent (FTE) levels on student achievement in Missouri using state-level assessment data. The researchers obtained publicly available, aggregated data directly from the Missouri Department of Elementary and Secondary Education (MO DESE) to conduct statistical analyses on multiple districts, years, and content areas. The dataset included data points from Missouri K-12 public schools over a nine-year period. The analysis utilized ANOVA and post-hoc tests to compare proficiency rates across FTE levels (no librarian, part-time librarian, and full-time librarian) for each school level and content area. Results indicated that schools with full-time librarians had significantly higher proficiency rates compared to schools with part-time or no librarians. Furthermore, the effect sizes demonstrated the positive impact of having a school librarian on student achievement across school levels and content areas. This study provides evidence supporting the importance of school librarians in enhancing student performance on state-level assessments.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.372
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.003

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 head0.021
GPT teacher head0.276
Teacher spread0.255 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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