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Record W4415273551 · doi:10.1080/17439884.2025.2572628

Midwifing liberatory education futures with education fiction: on the need to cultivate decolonial imagination

2025· article· en· W4415273551 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLearning Media and Technology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsRoyal Roads University
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsFutures contractPower structureTeaching methodHigher educationQualitative researchCritical theoryTechnology integrationNeoliberalism (international relations)

Abstract

fetched live from OpenAlex

This paper argues that for education fiction to be a valuable methodology for studying education technology and futures, it must be rooted in the context of our current era, marked by polycrisis, collapse, and the enduring influence of colonial modernity. We begin with a reflexive analysis of academic knowledge production and then explore how education fiction can inadvertently reproduce colonial logics of these contexts are ignored. Drawing on the Gesturing Towards Decolonial Futures Collective’s concept of ‘hospicing modernity,’ we propose cultivating a decolonial imagination, one that holds grief, complicity, and possibility, as a strategy for midwifing liberatory education futures. We further argue that education fiction can function as a prefigurative method: a space to practice relational, decolonial ways of knowing and worldmaking. This approach is especially urgent in relation to education technologies, which remain deeply entangled with extractive systems.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.283
Teacher spread0.278 · 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