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Record W4403433839 · doi:10.1002/pra2.1187

Discipline as Context: Arts and Science Students' Views on Key Concepts in the <scp>ACRL</scp><i>Framework</i>

2024· article· en· W4403433839 on OpenAlexaff
Claire Pienaar, Joan C. Bartlett

Bibliographic record

VenueProceedings of the Association for Information Science and Technology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsMcGill University
Fundersnot available
KeywordsContext (archaeology)Key (lock)Liberal arts educationThe artsSociologyMathematics educationHigher educationPsychologyComputer sciencePolitical scienceVisual artsGeographyArt

Abstract

fetched live from OpenAlex

ABSTRACT The introduction of the Association of College and Research Libraries' (ACRL, 2016) Framework for Information Literacy for Higher Education , or “the Framework,” has fostered efforts to apply the document's concepts to information literacy instruction (ILI) to meet the needs of post‐secondary students across faculties. However, little research has directly compared students' perspectives on the Framework's concepts by discipline. This poster presents findings from a larger, mixed‐methods project investigating student perspectives on the Framework in which participants in the faculties of arts ( n = 123) and science ( n = 90) expressed distinct views and rankings. Their perspectives particularly diverged around perceived roles in assessing the authority of information sources and how “relevant to their experience in school” they found most Framework frames. This project expands upon emerging learner‐centered research aiming to meaningfully improve Framework‐based ILI through its direct disciplinary comparisons and use of the recently developed Information Literacy Reflection Tool (ILRT; Robertson et al., 2022).

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)0.008
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.002
Scholarly communication0.0020.019
Open science0.0010.000
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 head0.015
GPT teacher head0.344
Teacher spread0.329 · 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 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
Published2024
Admission routes1
Has abstractyes

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