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Record W7132881078

Does Ontario's Ministry of Education Promote Critical Theory in K-12 Education

2023· dissertation· W7132881078 on OpenAlexaffabout
Stephen Reich

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldSocial Sciences
TopicEducational Theory and Curriculum Studies
Canadian institutionsInstitute for Christian Studies
FundersUniversity of Oxford
KeywordsChristian ministryCritical theoryIdentity (music)Power (physics)PessimismCritical thinkingCitizenship educationManagerialismGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Critical Theory (CT) has evolved from European neo-Marxism into American Identitarianism. Its pedagogy seeks societal revolution by re-focusing children’s education on identity power conflicts. CT has been criticized in the literature as pedagogically misguided, harmful to low SES students, dependent on stereotyping, hostile to evidence, and self-serving; therefore, any adoption by educational policy-makers begs for an explanation. This thesis examines whether Ontario’s Ministry of Education has indeed promoted CT in K-12 education. I employ mixed methods to define key terminology, and track its usage in 673 Ministry policy documents spanning 1982-2022. I find that the Ministry – even under the Conservatives – has increasingly adopted CT terms while poorly and inconsistently defining them. I attribute this to opportunistic framing, institutional isomorphism, and elite agenda-setting, arguing that the Ministry is generating disregard for empirically-tested teaching methods necessary for literacy, numeracy and critical thinking proficiency. Additionally, CT’s pessimistic divisiveness threatens social and civic cohesion.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.459
Teacher spread0.425 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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