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Record W2765803262 · doi:10.5703/1288284316471

Improving Student Success: Arkansas State’s Partnership With Credo and Regional High Schools

2017· article· en· W2765803262 on OpenAlexaff
Jeff Bailey, April Sheppard, Ian Singer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsSession (web analytics)General partnershipState (computer science)OfficerPolitical sciencePublic relationsComputer sciencePublic administrationManagementWorld Wide WebEconomics

Abstract

fetched live from OpenAlex

In this “out of the box” session, two librarians from Arkansas State University (A-State) and Credo’s chief content officer discussed their innovative collaboration in which A-State and Credo are working together to bring information literacy resources and instruction to local high schools in support of college readiness. The session covered several issues, including how the library engaged and garnered administrative support, the challenges in establishing meaningful partnerships with local high schools, and developing and tracking the right metrics to validate progress. Topics of discussion included ways in which the library is working to do more to enhance its strategic importance relative to administration goals; an overview of the established project goals and how success will be tracked in areas, including college preparedness, retention, graduation rates, grade point average (GPA), and recruiting; and why this matters to the A-State Library. Participants were encouraged to share their experiences and provide feedback.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0020.018
Open science0.0000.000
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 head0.028
GPT teacher head0.321
Teacher spread0.292 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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