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Record W1800984672

Critical Pedagogy Through Popular Culture

2014· article· en· W1800984672 on OpenAlexaff
Ghada Sfeir

Bibliographic record

VenueThe Journal of Teaching and Learning · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCritical pedagogyPedagogyCritical literacyCurriculumSociologyCritical thinkingPopular cultureIdeologyOppressionCritical theoryPoliticsLiteracyPolitical scienceMedia studies
DOInot available

Abstract

fetched live from OpenAlex

In our media-saturated society, integrating critical pedagogy in the curriculum at all levels has sparked the interest of researchers, scholars, and educators. They have focused their effort on redefining literacy, analyzing the profound influence of the media on the social, economic, and political issues, and promoting critical pedagogy to engage students to challenge the ideological and hegemonic representations, the structures of oppression, gender, class, power, and race. This study attempts to highlight that, in addition to these goals, critical pedagogy of popular culture in the curriculum holds other tremendous benefits to students such as expanding thinking about others, finding alternative narratives in students’ own lives, enhancing cultural synchronization, building culturally responsive awareness, building consumer awareness, and scaffolding social intelligence. This study also discusses the essential aspects of a successful implementation of critical pedagogy of popular culture in terms of content, teacher’s role and education. Keywords: critical pedagogy, popular culture, culturally responsive pedagogy

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)0.008
metaresearch head score (Gemma)0.015
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: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0050.025
Scholarly communication0.0090.009
Open science0.0020.013
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.027
GPT teacher head0.321
Teacher spread0.294 · 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
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

Citations3
Published2014
Admission routes1
Has abstractyes

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