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Record W3001446865 · doi:10.1177/1086296x19898003

Introducing Offlineness: Theorizing (Digital) Literacy Engagements

2020· article· en· W3001446865 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

VenueJournal of Literacy Research · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of British Columbia
FundersEconomic and Social Research Council
KeywordsSociologyConstruct (python library)Digital literacyLiteracyPedagogyEpistemologyComputer science

Abstract

fetched live from OpenAlex

In this Insights essay, we propose a new concept of offlineness that builds on current language around digital practices, yet addresses an element of young people’s experience that is not adequately represented in current research or educational discourse. This work is informed by a recent cross-national arts-based research project that highlighted the limitations of the discourse ascribed to the nature of young people’s engagement with digital literacies. We propose a (re)theorization, which builds on a critical review of current conceptual research and digital commentaries. Theorizing offlineness as a continuum between online and offline practices is tantamount to a paradigm shift toward more nuanced understandings of young people’s digital practices. It offers researchers and educators a more precise way to speak to young people’s digital experiences, providing a productive tool to (re)construct learning and inquiry spaces in literacy research and education.

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)0.003
metaresearch head score (Gemma)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0030.004
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.392
Teacher spread0.257 · 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