MétaCan
Menu
Back to cohort
Record W4289927645 · doi:10.23860/jmle-2022-14-2-2

Critical media literacy for uncertain times: Promoting student reflexivity

2022· article· en· W4289927645 on OpenAlex
Dawn H. Currie, Deirdre M. Kelly

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 Media Literacy Education · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedia literacyReflexivitySocial mediaSociologyCivic engagementCritical literacyMisinformationCitizenshipLiteracyContext (archaeology)Public relationsPedagogyPoliticsPsychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Developments in information and communication technologies (ICTs) add urgency to the claim that democracy requires media literate citizens. The purpose of this paper is to support media engagement by youth in a context characterized by the spread of misinformation through the very technologies that promise to democratize public debate. Rejecting literacy as a “skill”, our work illustrates how informed judgment during media engagement can be promoted by student reflexivity. Drawing on our research with teachers, we identify six modes of student reflexivity: personal, affective, evidentiary, analytical, ethical, and political. Each mode can be prompted through a line of questioning that attends to the role of media engagement in re/constituting the social world, offline as well as online. These modes prepare youth for an active citizenship promoting social justice through what we call “critical social literacy”.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.641
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.390
Teacher spread0.344 · 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