MétaCan
Menu
Back to cohort
Record W1972377541 · doi:10.1080/17439884.2013.783597

Digital literacy and informal learning environments: an introduction

2013· article· en· W1972377541 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

VenueLearning Media and Technology · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLiteracyDigital literacyReuseSocial mediaSociologyPublic relationsDigital mediaInformation literacyInformal learningInternet privacyKnowledge managementEngineering ethicsPedagogyComputer sciencePsychologyWorld Wide WebEngineeringPolitical science

Abstract

fetched live from OpenAlex

New technologies and developments in media are transforming the way that individuals, groups and societies communicate, learn, work and govern. This new socio-technical reality requires participants to possess not only skills and abilities related to the use of technological tools, but also knowledge regarding the norms and practices of appropriate usage. To be ‘digitally literate’ in this way encompasses issues of cognitive authority, safety and privacy, creative, ethical, and responsible use and reuse of digital media, among other topics. A lack of digital literacy increasingly implicates one's full potential of being a competent student, an empowered employee or an engaged citizen. Digital literacy is often considered a school-based competency, but it is introduced and developed in informal learning contexts such as libraries, museums, social groups, affinity spaces online, not to mention the home environment. This article recognizes and connects the ways and places we might conceptualize and realize an expanded view of digital literacy that fits today's changing reality.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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