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Record W4306906627 · doi:10.21900/j.alise.2022.1099

Authority is constructed and created … but not by you

2022· article· en· W4306906627 on OpenAlexaff
Denice Adkins, Jenny Bossaller, Heather Hill

Bibliographic record

VenueProceedings of the ALISE Annual Conference · 2022
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsWestern University
Fundersnot available
KeywordsSandbox (software development)ScholarshipConversationPerspective (graphical)Information literacySociologyPublic relationsDigital scholarshipPosition (finance)LiteracyPedagogyPolitical scienceComputer scienceWorld Wide WebLibrary scienceBusiness

Abstract

fetched live from OpenAlex

This paper engages in a critical review of information literacy practices as manifest through materials shared publicly on the ACRL Sandbox. Focusing primarily on the frames “Authority is Contested and Constructed,” and “Scholarship as Conversation,” we analyze lesson plans shared on the ACRL Sandbox that address those frames, including the positionality of the students for whom the lessons were created. Preliminary analysis finds that most of the lessons shared position students exclusively as information consumers, learning how to find and evaluate existing published research, rather than emphasizing their potential roles as producers. This perspective fails to capitalize on students as creators (e.g., from formal undergraduate research to social media). We conclude by presenting some ways in which information literacy instruction can be adjusted to prepare future librarians to recognize and respect students’ existing knowledge and build upon that knowledge.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0100.065
Scholarly communication0.0150.025
Open science0.0010.007
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.207
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), 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
Published2022
Admission routes1
Has abstractyes

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Same venueProceedings of the ALISE Annual ConferenceSame topicWeb and Library ServicesFrench-language works237,207