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Buzzword or breakthrough beyond growth? The mainstreaming of the Wellbeing Economy

2024· article· en· W4402536306 on OpenAlexaff
Anders Hayden

Bibliographic record

VenueEcological Economics · 2024
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMainstreamingInclusive growthNatural resource economicsEconomicsBusinessEconomic growthPolitical sciencePoverty

Abstract

fetched live from OpenAlex

A wellbeing economy (WE) has been promoted by many advocates of a post-growth economy. Drawing on the growing WE literature, including detailed case studies of Wellbeing Economy Governments (WEGo), the article asks: does growing support for a WE represent a breakthrough for post-growth economic ideas? Or has mainstreaming the WE concept emptied it of radical post-growth content? The WE experience is interpreted in light of an earlier debate in the international development community over the mainstreaming of radical concepts that were purged of transformative meanings – becoming buzzwords that did not fundamentally alter existing practices. Wellbeing and the WE similarly risk becoming buzzwords: feel-good ideas that are hard to oppose, but which users can fill with their own meanings and political agendas. The WE's post-growth roots are contrasted with the pro-growth meanings given to it by organizations including the OECD and WEGo nations. The WE has nevertheless shown some promise in enabling limited steps in a post-growth direction in WEGo nations (within a broader context of continued pursuit of growth). The article presents – and invites debate on – some possible responses to resist dilution of the WE concept and advance a transformative post-growth vision. • The Wellbeing Economy (WE) has found considerable mainstream support. • Despite having post-growth roots, the WE has taken on pro-growth meanings. • The WE risks becoming an empty buzzword as it is mainstreamed. • Wellbeing Economy Governments have not moved beyond economic growth. • Possible strategies are proposed to strengthen the WE's post-growth character.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.279
Teacher spread0.260 · 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

Citations11
Published2024
Admission routes1
Has abstractyes

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