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Record W4411413120 · doi:10.53974/unza.zajlis.8.2.141

Aligning the American College of Research Libraries Framework with the Information Literacy Knowledge and Skills of Undergraduate Students at the University of Zambia

2024· article· en· W4411413120 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

VenueZambia Journal of Library & Information Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsInformation literacyFocus groupLifelong learningLibrary instructionQualitative researchPedagogyLiteracyMathematics educationPsychologyMedical educationSociologyMedicine

Abstract

fetched live from OpenAlex

Information Literacy (IL) is considered the core of student success as it equips them with lifelong skills. This study aimed to assess the IL skills of undergraduate students at the University of Zambia (UNZA) by applying the American College of Research Libraries Framework for Information Literacy for Higher Education (the Framework). Focus groups were used to collect qualitative data from 22 participants. Questions were formulated to guide the discussion. Audio recordings of the discussions were transcribed and analyzed using Nvivo 12 software. Results indicated that participants presented some but not all knowledge practices and dispositions in each of the six concepts of the Framework. This study offers valuable insights for African libraries contemplating aligning their IL instruction with the Framework.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.006
Scholarly communication0.0010.091
Open science0.0020.000
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 head0.014
GPT teacher head0.329
Teacher spread0.315 · 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