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Record W2994379632 · doi:10.11645/13.2.2627

Exploring value as a dimension of professional information literacy

2019· article· en· W2994379632 on OpenAlex
Sara Sharun

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

VenueJournal of Information Literacy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsMount Royal University
Fundersnot available
KeywordsInformation literacyValue (mathematics)PhenomenographyContext (archaeology)SociologyPedagogyHealth literacyDimension (graph theory)Public relationsHealth careMedical educationPsychologyMedicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

This study presents a critical exploration of one of the ACRL Framework concepts by examining it in the context of professional practice. Semi-structured interviews were conducted with health and human service professionals at a community health centre to explore how information literacy (IL) is experienced in the workplace. Value emerged as the dominant theme in participants’ descriptions of their information practices. This concept was conceived of predominantly in the context of personal and professional relationships that existed within the systems and structures of the physical workplace, professional practice and the health and social care system. Using phenomenography as a methodological approach, this study presents a lens through which to see the nature and significance of information value in various contexts beyond academia, and invites librarians to consider how evidence from workplace and professional settings may inform IL instruction to students, especially those entering health and human service professions.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.265
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.305
Teacher spread0.284 · 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