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Record W4411693793 · doi:10.70116/2980274154

Ex-colonialism: Toward collaborative change in curriculum studies

2025· article· en· W4411693793 on OpenAlexaff
Adrian M. Downey

Bibliographic record

VenueCulture, education and future. · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsColonialismCurriculumSociologyPedagogyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article seeks to bring Australian-settler scholar Simone Bignall’s writing on ex-colonialism (exit-from-colonialism) into conversation with the field of curriculum studies. Specifically, ex-colonialism is discussed in relation to theories of social change in education and other frameworks for thinking about Indigenous and non-Indigenous curricular relations. Ex-colonialism posits a resolute exit from colonialism that doesn’t seek the recognition of the state and demands a complete overhaul of settler-colonial social structures. Coming from an intercultural position that includes a Eurocentric critique of Eurocentrism and mirroring an Indigenous politics of refusal from a settler-theorized position, ex-colonialism offers settlers some agency in enacting radical anti-colonial change. Structurally, the paper unfolds as follows. First, I present ex-colonialism in brief as an intercultural framework for working toward collaborative, anti-colonial change. I then characterize four other, more popular terms in curriculum studies that can be considered representative of larger Indigenous projects of social change: reconciliation, decolonization, Indigenization, and resurgence. Next, I compare each term to the project of social change proposed through ex-colonialism. I then highlight the history of BIPOC replacement in curriculum studies and public education, linking it to the consumptive nature of neoliberal capitalism. In response, I draw on ex-colonialism’s careful attention to the ethics of relation in order, ultimately, to suggest the micropolitical possibility of an otherwise to what has existed and what exists now in public schooling and curriculum.

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)0.048
metaresearch head score (Gemma)0.041
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 score0.048
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0140.047
Scholarly communication0.0140.016
Open science0.0020.026
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.040
GPT teacher head0.419
Teacher spread0.379 · 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
Published2025
Admission routes1
Has abstractyes

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