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Record W3152340780 · doi:10.5860/crln.82.4.190

Kids in the stacks: Summer camp at an academic library

2021· article· en· W3152340780 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCollege & Research Libraries News · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsSmiths Detection (Canada)Ambrose University
Fundersnot available
KeywordsOutreachSummer campLibrary scienceWork (physics)CliffSociologyMedical educationPolitical scienceEngineeringHistoryMedicineArchaeologyComputer science

Abstract

fetched live from OpenAlex

It’s summer, and there are middle school students running around the university library. Why?St. Ambrose University (SAU) Library held summer camps for 6th- through 8th-grade students in 2018 and 2019. The first was Digital Film Camp, and the second was National History Day Boot Camp. If you work in higher education, chances are good that you’ve heard about the campus demographic cliff and been charged with doing your part to address this enrollment challenge. In alignment with a campus-wide initiative to bolster pre-college summer camps for potential students, the library hosted summer camps for middle school students as part of this community outreach and engagement strategy. The goal of these camps was to offer enriching experiences that create positive impressions of the campus and library.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0020.001
Scholarly communication0.0010.012
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.165
GPT teacher head0.419
Teacher spread0.254 · 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