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Record W4200153562 · doi:10.14434/josotl.v21i4.33792

Education, Politics, and the Crisis of Democracy in the Age of Pandemics

2021· article· en· W4200153562 on OpenAlexaffabout
Henry A. Giroux

Bibliographic record

VenueJournal of the Scholarship of Teaching and Learning · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPoliticsDemocracyPandemicPolitical scienceCoronavirus disease 2019 (COVID-19)Political economyDevelopment economicsSociologyEconomicsLawMedicine

Abstract

fetched live from OpenAlex

In the age of the pandemic, higher education is increasingly defined by modes of governance modeled after a business culture.As the pandemic continues to ravage countries across the globe, education has accelerated its emphasis on job training, online tools, and remote learning, while further aligning curricula with business interests (Alford and Kroll, 2020).With the move to online teaching, instrumental rationality and the language of technique have increasingly become the lingua franca of education.Remote teaching has moved to the forefront of discussions about pedagogy and in doing so has generated a preoccupation with methods and training skills, which not only displace serious concerns about the role of higher education as a public good but also placing unacceptable burdens on both teachers and students (School Magazine Editorial Action Toronto, 2021).Questions about improving delivery, tutorials, recorded lectures, contract grading, and how to give students bonus marks for uploading their notes have moved to the forefront of pedagogical consideration.Matters concerning regulating screen time replace crucial pedagogical issues about fostering deep engagement and critical thinking among students about crucial social issues.What disappears in diverse forms of pandemic pedagogy is what Pope Francis describes as the need for students to be attentive "to grave social injustices, violations of rights, terrible forms of poverty, and the waste of human lives.Moreover, he has advocated that educators "leave behind superficial approaches to education and the many short-cuts associated with utility, (standardized) test results, functionality and bureaucracy, which confuse education with instruction and end up atomizing our cultures" (Cummings McLean, 2020).In this instance, there is a call for pedagogical approaches that are transformative, empowering, and deeply examine what role education should play in furthering a democracy in a time of growing tyranny.Unfortunately, pandemic pedagogy is neither on the side of expanding civic culture, social justice, or democracy.For instance, teaching and learning centers in many universities now dominate educational issues, largely concerned with providing training sessions on how to use a variety of teaching methods and platforms that extend from teaching Zoom classes to exploring the diverse vagaries of videoconferencing (Blum, 2020).As higher education succumbs to a business culture and cult of efficiency, it removes itself from issues regarding the complex relationships among knowledge, power, and the acquisition of agency.Matters of purpose and meaning become fetishized within a discourse of hyper instrumental reason that serves to hermetically situate faculty and students within a fetishized discourse of efficiency.What is lost here is the pedagogical imperative of teaching students to be thoughtful, informed, and engaged critical citizens.There is little talk about how education should be a place where students realize themselves as citizens or, for that matter, the role of faculty as public intellectuals who connect their work to crucial social problems while addressing pedagogy as a moral and political project.The COVID-19 pandemic has further intensified the corporatization of the neoliberal university.This is evident in the increasing control of universities by managerial elites, the loss of power by faculty in shaping governance and the mission of higher education, along with a loss of control over their own conditions of labor.As Watermeyer and his co-authors (2021, p. 654) observed:

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0130.035
Scholarly communication0.0140.016
Open science0.0010.008
Research integrity0.0110.019
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 head0.025
GPT teacher head0.343
Teacher spread0.318 · 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 designTheoretical or conceptual
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

Citations8
Published2021
Admission routes2
Has abstractyes

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Same venueJournal of the Scholarship of Teaching and LearningSame topicYouth Education and Societal DynamicsFrench-language works237,207