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Record W2965550615 · doi:10.3390/su11154082

Livelihood, Market and State: What does A Political Economy Predicated on the ‘Individual-in-Group-in-PLACE’ Actually Look Like?

2019· article· en· W2965550615 on OpenAlexaff
Stephen Quilley, Katharine Zywert

Bibliographic record

VenueSustainability · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSociology and Norbert Elias
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLivelihoodPoliticsPolitical economyEconomic systemEconomicsGlobalizationWelfare statePolitical scienceMarket economySociologyLaw

Abstract

fetched live from OpenAlex

Ecological economics has relied too much on priorities and institutional conventions defined by the high energy/throughput era of social democracy. Future research should focus on the political economy of a survival unit (Elias) based upon Livelihood as counterbalance to both State and Market. Drawing on the work of Polanyi, Elias, Gellner and Ong, capitalist modernization is analyzed in terms of the emergence of a society of individuals and the replacement of the survival units of place-bound bound family and community by one in which the State acts in concert with the Market. The operation of welfare systems is shown to depend upon ongoing economic growth and a continual flow of fiscal resources. The politics of this survival unit depends upon high levels of mutual identification and an affective-cognitive ‘we imaginary’. Increasing diversity, a political rejection of nationalism as a basis for politics and limits to economic growth, are likely to present an existential threat to the State–Market survival unit. A reversal of globalization, reconsolidation of the nation-state, a reduction in the scope of national and global markets and the expansion of informal processes of manufacture and distribution may provide a plausible basis for a hybrid Livelihood–Market–State survival unit. The politics of such a reorientation would straddle the existing left–right divide in disruptive and unsettling ways. Examples are given of pre-figurative forms of reciprocation and association that may be indicative of future arrangements.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.275
Teacher spread0.266 · 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

Citations15
Published2019
Admission routes1
Has abstractyes

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