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Record W1503766134 · doi:10.63997/jct.v25i2.83

Culture and Difference: Heterologies of the Other

2009· article· en· W1503766134 on OpenAlexaffabout
Peter Pericles Trifonas

Bibliographic record

VenueJournal of Curriculum Theorizing · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical theory and Gramsci
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

The idea of difference and its postcolonial heterologies-diverse discourses of difference-have provided the conceptual groundwork for postcolonial theorists of nation, race, class, ethnicity, gender, and sexuality who have worked toward the ethical purpose of actualizing equitable contexts responsive to the alterity of individuals and groups within a society or culture regardless of identity politics and its categorical constructions. Yet this altruistic desire for securing equitable environments and opportunities is also the practical juncture at which postcolonial theorists begin to partcompany with respect to the concept of difference. Difference and its heterology therefore becomes an intrinsic point of theoretical validation for asserting the legitimacy of such postcolonial discourses in practice by justifying the ethics of the methods each puts forward for the creation of grounds for equitable social environments that are fair and just. About the Author Peter Trifonas is a professor of Social and Cultural Studies in Education at the Ontario Institute for Studies in Education, the University of Toronto. He is the author of Revolutionary Pedagogies, Pedagogies of Difference, and Ethics, Institutions, and the Right to Philosophy (with Jacques Derrida), and The Ethics of Writing among other books.

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)0.006
metaresearch head score (Gemma)0.006
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 score0.015
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0080.085
Scholarly communication0.0150.014
Open science0.0010.009
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.310
Teacher spread0.295 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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