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Record W4393277534 · doi:10.1177/13684310241237428

Schumacher against globalism and ecomodernism: Ecology, subsidiarity and the politics of scale

2024· article· en· W4393277534 on OpenAlexaff
Stephen Quilley

Bibliographic record

VenueEuropean Journal of Social Theory · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGlobalismSubsidiarityPoliticsPolitical ecologySociologyScale (ratio)EcologyEnvironmental ethicsPolitical scienceLawGeographyBiologyEconomicsPhilosophy

Abstract

fetched live from OpenAlex

E. F. Schumacher’s Small is Beautiful is one of the most succinct elaborations of Catholic social teaching (CST) and ‘distributism’ – construed as an alternative to both capitalism and socialism. Extending the logic of Polanyi, both market and state, and their right- and left-wing ideological expressions, are shown to be contending forms of collectivism – in that both aggregate the agency of disembedded ‘billiard ball’ individuals. Schumacher’s socio-economic vision is rooted in Livelihood and is orthogonal to both left and right, creating an opportunity for an alternative to modernity involving patterns of embedded production, consumption and reproduction (family, household and place-bound community). ‘Smallness’ and ‘localness’ speak to forms of embedded social capital that are ‘sticky’, viscous and relational, more ascriptive and less fluid. But for precisely this reason, the political agenda implicit in Schumacher’s vision is not only post-liberal, but explicitly both covenantal and Christian. It requires the ontology of sovereign, self-actualizing individuals to be reconnected and constrained through a transcendent relationality with God. Small is Beautiful is shown to be diametrically opposed to the eco-modernist, gnostic and sometimes even transhumanist worldview of global environmentalism.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.030
Scholarly communication0.0060.007
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.012
GPT teacher head0.232
Teacher spread0.220 · 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 designNot applicable
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

Citations4
Published2024
Admission routes1
Has abstractyes

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