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Record W2079997254 · doi:10.4018/ijdldc.2014100101

Digital Literacy Concepts and Definitions

2014· article· en· W2079997254 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

VenueInternational Journal of Digital Literacy and Digital Competence · 2014
Typearticle
Languageen
FieldComputer Science
TopicDigital literacy in education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDigital literacyInformation literacyPresentation (obstetrics)LiteracyComputer scienceCurriculumInformation and Communications TechnologyPedagogyMathematics educationKnowledge managementSociologyPsychologyWorld Wide Web

Abstract

fetched live from OpenAlex

This article presents a scan of the concept of “digital literacy” and discusses issues encountered in the literature, including: a) challenges in the research base for conceptualizing digital literacy, b) the multiplicity of frameworks which attempt to situate digital literacy but lack sound theoretical origins, and c) wide disagreement among stakeholder disciplines, including education, media studies, library information studies and computing/ICT studies as to what specific skills or knowledge should fall under the umbrella term of digital literacy. The review focuses on the field of education and briefly examines the inconsistent local, national, and international curriculum standards used to both instruct and assess students. It concludes with a presentation of a brief assessment tool, the Software Recognition Test, which preliminary research suggests has predictive validity for educational use and could, with further development, be used for low stakes assessment of digital literacy for K-12 or post-secondary settings.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.748
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0150.033
Open science0.0010.001
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 head0.013
GPT teacher head0.282
Teacher spread0.270 · 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