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Record W4379744049 · doi:10.11645/17.1.3351

critical information literacy of social workers

2023· article· en· W4379744049 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 · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsMount Royal University
Fundersnot available
KeywordsInformation literacyPhenomenographyPedagogyInterpersonal communicationSociologyContext (archaeology)Action (physics)Social practiceCritical literacySocial workPsychologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

The aim of this study is to contribute to a pragmatic understanding of critical information literacy (CIL) by positioning it as a context-specific interpersonal practice. Using phenomenography to explore how information work is experienced by social workers in social and health care settings, this paper provides an example of critical information practice that can be used to operationalise and activate CIL as a theory and inform approaches to critical pedagogy. CIL as a concept is generally theorised, practiced, and taught in academic contexts, and relatively few examples of how theory can be defined and put into practice outside a classroom setting are available. This study builds on our understanding of CIL by exploring professional information practice and suggests a model for teaching to engage learners inconnecting information to action in social systems.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.022
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 head0.019
GPT teacher head0.403
Teacher spread0.384 · 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