MétaCan
Menu
Back to cohort
Record W7100949862

The Path of Dissent An Interview With Peter McLaren

2014· article· en· W7100949862 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsDissentDemocracyLatin AmericansMarxist philosophyWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

The work of U.S.-Canadian Peter McLaren has assumed a central place in the debates over the role of critical pedagogy in North America; less known among North American educators is that his work has sparked considerable interest in South America for more than a decade and has received special attention in Brazil, the birthplace of Paulo Freire. McLaren is one of North America’s most significant ambassadors of Freire’s work; in recent years, he has also moved into a pedagogical terrain uninhabited by the majority of North American educa-tors—that of Marxist theory and analysis. Of course, this may account for the in-creased interest in his work throughout many Latin American countries, but it is sure to alienate McLaren from many of his long-standing supporters in the United States. It is clear that McLaren is dedicated to developing schools into sites where students can begin to imagine socialist alternatives to capitalism. Although the vast majority of educators in the United States are calling for a redistribution of economic resources within a more “compassionate ” capitalism, McLaren is convinced that only within a socialist society can democracy be achieved.

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)0.025
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 score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0370.018
Scholarly communication0.0090.009
Open science0.0030.007
Research integrity0.0120.024
Insufficient payload (model declined to judge)0.0080.002

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 head0.350
Teacher spread0.315 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicCritical and Liberation PedagogyFrench-language works237,207