MétaCan
Menu
Back to cohort

Critical pedagogy and the Covid-19 pandemic keeping communities together in times of crisis

2022· other· en· W6967033059 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsnot available
Fundersnot available
KeywordsConstructivePoliticsIdeologyCritical theoryCritical consciousnessCritical pedagogyConsciousnessPandemicSocial change

Abstract

fetched live from OpenAlex

"Written by leading scholars and activists from Canada, Germany, Malta, Norway, Turkey and the USA, this book offers international perspectives on critical pedagogy during the Covid-19 pandemic. It examines the social and political impact of the pandemic on education, and explores how the creation of digital communities has become indispensable in maintaining connectivity and building networks. Including contributions from Michael W. Apple, Antonia Darder, Henry A. Giroux, Peter Mayo, Peter McLaren, Wayne Ross and Ira Shor, this volume examines critical issues, controversies of education, and social and political problems that have been exacerbated by the pandemic. The chapters call for constructive critical consciousness and a commitment to social justice, addressing current issues, including Black Lives Matter, racism, poverty, social and gender inequality, women's rights and teachers' isolation during the pandemic. In part I, the authors address these issues through the lenses of neoliberalism, neo-conservatism, rightist ideology and capitalism. Parts II and III of the volume offer inclusive perspectives, personal accounts and regional outlooks on these issues, and assess their influence on society and education during the Covid-19 pandemic."

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.562
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.056
GPT teacher head0.370
Teacher spread0.314 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicDigital Education and SocietyFrench-language works237,207