MétaCan
Menu
Back to cohort
Record W4410351708 · doi:10.1177/0961463x251333836

Relational time and creolizing eschatology

2025· article· en· W4410351708 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.

Bibliographic record

VenueTime & Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsEschatologyDeep timeSociologyPhilosophyTheologyGeology

Abstract

fetched live from OpenAlex

Using Édouard Glissant's concept of creolization as a lens, this article explores how different senses of time respond to the volatile affective dynamics of polycrisis. It begins by specifying two interrelated problems: first, what it calls the affective double bind that intensifies desire for normalcy and familiarity when what is needed is creative and transformative thought and action; second, what it calls the pluriversal challenge of realizing planetary independence without imposing or privileging any single exclusive hegemonic meaning system. The paper then draws on Kyle Whyte's Anishinaabe informed “time as kinship” and Kyoto school philosopher Nishida Kitarō's “everyday eschatology” as examples for articulating “relational time,” contrasting this with a more familiar sense of “clock time” common to industrialized life. The article argues that cultivating relational time is helpful for navigating the affective dynamics of polycrisis and climate change. This is primarily discussed in terms of how it shifts engagement with conceptions and stories of origin and end, enabling a manner of maintaining their important affective work while challenging dominant habits of conceiving them through a logic of mutual exclusion that elevates one as the only real possibility. This amounts to a creolizing of eschatology.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.714
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.306
Teacher spread0.280 · 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