MétaCan
Menu
Back to cohort
Record W4312250705 · doi:10.32919/uesit.2021.01.03

An overview of the history of media education in Canada

2021· article· en· W4312250705 on OpenAlexaboutno aff
Hanna Tsvietkova, Liudmyla Pryimenko

Bibliographic record

VenueUkrainian Journal of Educational Studies and Information Technology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperContext (archaeology)Mass mediaMedia literacyThe InternetSociologyPeriodizationPublic relationsMedia studiesPedagogyMultimediaPolitical scienceComputer scienceHistoryWorld Wide Web

Abstract

fetched live from OpenAlex

The article's primary objective is to provide the first comprehensive retrospective examination of Canadian media education history. The authors support the periodization, identify the trends, the periodization criteria, and the three main periods of establishment and development of Canadian media education in the context of socio-political and sociopedagogical determinants based on the theoretical findings of Canadian media educators. The historical foundations for Canada's development of media education are made clear. According to pedagogical theory and practice, the core of media education is the study of theory and the development of practical skills for mastering contemporary mass media. This knowledge is seen as belonging to a distinct, independent field of knowledge. The authors conclude that media education is connected to all forms of media, including the collection of information and communication tools that each person uses on a daily basis: printed media (newspapers, magazines), auditory media (radio, audio), and screen media (movies, television, video, multimedia, the Internet, etc.); they also define the fundamental elements of media education and conclude that it is a subset of media literacy and media culture. The article describes the evolution of media education associations, approaches, and programs. It has been proven necessary to use positive Canadian experience to address issues with implementing media education in Ukraine in order to improve and humanize that country's educational system in the framework of studying the experience of Canadian media theorists and practitioners.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.069
GPT teacher head0.385
Teacher spread0.317 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueUkrainian Journal of Educational Studies and Information TechnologySame topicDiverse multidisciplinary academic researchFrench-language works237,207