MétaCan
Menu
Back to cohort
Record W3047055068 · doi:10.25071/1916-4467.40517

Recovering the (Mis)Promises of Critical Pedagogies in Neoliberal Times: A Turn to Ethics

2020· article· en· W3047055068 on OpenAlexaffvenue
Louise Azzarello

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsYork University
Fundersnot available
KeywordsPraxisSociologyCritical pedagogyCritical theoryWitnessNeoliberalism (international relations)Critical thinkingPedagogyEpistemologySocial scienceLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

There are many renderings of critical pedagogy and at the core of each theory is a desire for the common good and a more just world. However, neoliberal logic is undermining the foundational promises of critical pedagogies. What happens when teachers, schooled in these theories—these promises—work in buildings that are hostile, indifferent or simply pay lip service to such theoretical goals? What happens when teachers realize, witness and participate in education as a force of ongoing colonial and systemic oppressions based on sex, gender, class and race (Battiste, 2005; Dion, 2010; Gaztambide-Fernández, 2011; Noroozi, 2017)? What happens to teachers’ (critical) pedagogical praxis when all hope of change seems impossible, when the inevitability of the way-things-are sucks all hope out of you? In an attempt to grapple with the “pervasive atmosphere of capitalist realism” (Fisher, 2009, p. 16) that infiltrates and impedes the educational, I position public education in Berlant’s (2011) notion of cruel optimism and question the (mis)promises of critical pedagogies. In doing so, I consider a turn to ethics to recover the “educational in education” (Di Paolantonio, 2016, p. 148). I make this move to think through how an ethics of responsibility to and for others might be fostered in schools given the compromised place of public education today.

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)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.101
GPT teacher head0.426
Teacher spread0.325 · 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 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

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Canadian Association for Curriculum StudiesSame topicGlobal Educational Policies and ReformsFrench-language works237,207