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Record W4417193270 · doi:10.1080/1600910x.2025.2592960

Knight moves: four political scenarios for ecological upswing jumping off pragmatic sociology

2025· article· en· W4417193270 on OpenAlexaffabout
Nicholas A. Scott

Bibliographic record

VenueDistinktion Journal of Social Theory · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsKnightPoliticsJumpingPolitical sociology

Abstract

fetched live from OpenAlex

In the context of rising anti-environmentalism and accelerating ecological crisis, this article imagines four kinds of resurgent environmentalism or ‘ecological upswing’, rooted in the political traditions of the far left, left, right and far right. Building on work by pragmatic sociology to apprehend ecological worth, I conceptualize ecological upswing as a diagonal departure away from hegemonic market worth and ever-deeper individualism. In contrast to previous approaches distinguishing a ‘green’ common good as a novel order of worth that stands apart from more conventional common goods, I explore two forms of ecological upswing that slowly emerge from within conventional common goods as well as two forms that pose a more ‘serious readjustment’ to the whole model. Taking examples from Canada, my analysis of each ecological upswing includes speculative scenarios in which society shifts away from neoliberal individualism towards the common good via tipping points of nonlinear, cascading transformation into less anthropocentric imaginaries of moral worth. Drawing on the metaphor of a knight’s move in chess, or a creative detour that challenges linear, modern ideas about progress, this article charts four different ways in which ascendant forms of ecological worth could swing a wealthy western society like Canada towards multispecies flourishing.

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)0.010
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.378
Teacher spread0.330 · 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.

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 routes2
Has abstractyes

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