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Record W4411061782 · doi:10.29173/jjs141

Collaboration in Collections

2025· article· en· W4411061782 on OpenAlexvenueno aff
Damaris Alvarenga Agustin, Laurie Langbauer, Amy Fader, Madison Gagnon, Mohala Kaliebe, Mila Mascenik, Caroline Parker, Matt Turi

Bibliographic record

VenueJournal of Juvenilia Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

This essay presents a rough outline of the “what, how, and why” of the collaborative work done in English 425: “Literature, Archives, and Original Research,” an intensive research undergraduate course at the University of North Carolina at Chapel Hill in the Fall 2024 that focused on juvenilia. The team included a class of thirteen undergraduates (all years; all majors), five PhD students from English and Comparative Literature, one professor from the same department, instructional specialists from Ackland Art Museum, and librarians galore from Wilson Library Special Collections and Davis Library, all at UNC Chapel Hill. We met with two or three museum and four or five library colleagues; but many others, behind the scenes, made our course possible.Eight members of this team tell their story from the points of view of four students, three librarians, and the professor. The projects the class undertook show what can happen when participants believe in each other as partners. They also show how young researchers occupy an exceptional position when it comes to considering what young artists and authors care about and why it matters.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.143

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.289
Teacher spread0.257 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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