MétaCan
Menu
Back to cohort
Record W4409076293 · doi:10.1177/20436106251324970

Speculative visions: Stories and slogans for ecopedagogical relations

2025· article· en· W4409076293 on OpenAlexaff
Emily Ashton

Bibliographic record

VenueGlobal Studies of Childhood · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsVisionMedia studiesSociologyPublic relationsAestheticsPolitical scienceAnthropologyArt

Abstract

fetched live from OpenAlex

This article examines the implications of two provocative scholarly slogans—Donna Haraway’s “Make Kin Not Babies” and Sophie Lewis’s “Abolish the Family”—for children, childhoods, and ecopedagogies in the early years. Engaging critically with these concepts, the article highlights their potential to disrupt entrenched norms while acknowledging the discomfort and uncertainty they may evoke. It begins by interrogating the normalized centrality of “the family” in early childhood teacher education and childhood studies, arguing that this focus constrains alternative imaginaries of care and justice. The discussion situates Haraway’s and Lewis’s slogans within broader debates, critiquing how idealized family structures often align with humanist stewardship pedagogy, which presumes humanity’s exceptional capacity to save both children and the planet. By contrast, speculative narratives, such as Netflix’s Sweet Tooth , offer opportunities to reimagine the child, family, and future by emphasizing interconnections between humans and the more-than-human world. These stories open space for counter-imaginaries, inspiring alternative communal formations and transformative practices. Ultimately, the article advocates for a pedagogy of discomfort and generous suspicion as ecopedagogical strategies to interrogate existing care structures and envision more equitable and interconnected futures.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.047
GPT teacher head0.457
Teacher spread0.410 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueGlobal Studies of ChildhoodSame topicEducational Environments and Student OutcomesFrench-language works237,207