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Record W3013979559 · doi:10.1051/shsconf/20207501001

Development of media education in Canada: a brief history

2020· article· en· W3013979559 on OpenAlexaboutno aff
Hanna Tsvietkova, Олена Бескорса, Liudmyla Pryimenko

Bibliographic record

VenueSHS Web of Conferences · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperContext (archaeology)Media literacyMass mediaPeriodizationThe InternetNew mediaMediaSociologyMovie theaterMedia relationsEveryday lifePedagogyPublic relationsMedia studiesMultimediaPolitical scienceComputer scienceHistoryArtVisual artsWorld Wide Web

Abstract

fetched live from OpenAlex

The article focuses on a holistic retrospective analysis of the history of media education in Canada, which has been done for the first time. Based on the theoretical findings of Canadian media educators, the authors substantiate the periodization, identify the trends, the periodization criteria and three main periods of establishment and development of Canadian media education in the context of sociopolitical and socio-pedagogical determinants. The historical preconditions of the development of media education in Canada are revealed. The essence of media education is regarded as a theory study and development of practical skills for mastering modern mass media, which is considered as part of a specific, autonomous field of knowledge in pedagogical theory and practice. The authors determine that media education is associated with all types of media, which include the set of information and communication tools that each person interacts with in everyday life: printed (newspapers, magazines), auditive (radio, audio) and screen or audiovisual media (cinema, TV, video, multimedia, Internet, etc.); they identify the essential characteristics of media education, determine that media education is the form of media literacy and media culture of an individual; as well as they find out, characterize and systematize the gaps in media education in Canada. The article presents the evolution of media education programs, techniques as well as media education associations. In the context of studying the experience of Canadian media theorists and practitioners, the necessity of applying positive Canadian experience to solve the problems of implementing media education in Ukraine in terms of reforming and humanizing its educational space has been substantiated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.161
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.019
Science and technology studies0.0160.007
Scholarly communication0.0100.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.106
GPT teacher head0.332
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations3
Published2020
Admission routes1
Has abstractyes

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