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Record W3115347874 · doi:10.37119/ojs2020.v26i1.467

Digital Citizenship in Ontario Education: A Concept Analysis

2020· article· en· W3115347874 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuein education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCitizenshipConceptualizationGood citizenshipConstruct (python library)DemocracyCitizenship educationSociologyPolitical sciencePublic relationsLawComputer sciencePolitics

Abstract

fetched live from OpenAlex

Digital citizenship indicates one’s place in digitized society; however academics have not established a cohesive understanding about how digital citizenship is characterized. The Ontario Ministry of Education also does not provide a central conceptualization of digital citizenship and instead encourages Ontario school boards to construct and communicate ideas of digital citizenship. Accordingly, Ontario policymakers, educators, and students use differing understandings of digital citizenship, which ultimately impedes educational initiatives and hinders the overall development of the concept. For this paper, therefore, I inquired as to how Ontario public school boards portray digital citizenship. Using concept analysis, I examined digital citizenship documents from the 10 largest English Ontario public school boards. The results suggest that digital citizenship is predominately characterized by responsible and ethical technology use. I conclude with a discussion about how this representation relates to democratic citizenship more broadly and the implications this may have on youth civic engagement. Keywords: digital citizenship; technologies and education; democracy and education; democratic citizenship; concept analysis

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.040
GPT teacher head0.342
Teacher spread0.302 · 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