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Record W3160022308 · doi:10.1007/978-3-030-68944-5_3

Neoliberal Bioeconomies? Co-constructing Markets and Natures

2021· book-chapter· en· W3160022308 on OpenAlexafffund
Kean Birch

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicBioeconomy and Sustainability Development
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCriticismClimate changeState (computer science)Neoliberalism (international relations)Natural (archaeology)Economic systemPolitical sciencePolitical economyEconomicsGeographyEcologyLaw

Abstract

fetched live from OpenAlex

Abstract The bioeconomy is a key low-carbon transition pathway to address climate change promoted by a range of policymakers. The bioeconomy has been defined as a market-based strategy for dealing with environmental problems, largely because it seeks to insert bio-based products, fuels, and materials into prevailing economic infrastructures and institutions, rather than challenging underlying capitalist logics. As such, it can be seen as a ‘neoliberal’ response to climate change that reflects theoretical debates about the neoliberalization of nature. Such criticism, however, tends to treat markets as aberrations of nature and disrupting notions of a pristine, untouched natural state. In contrast, I argue that analysing the bioeconomy reveals the co-construction of markets and natures, rather than the imposition of markets on natures. Opening up criticism helps to provide an understanding of how else the bioeconomy could be organized and of the sorts of socio-material arrangements that we view as supportable.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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: none
Teacher disagreement score0.999
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.014
Scholarly communication0.0060.009
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.010
GPT teacher head0.198
Teacher spread0.187 · 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.

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

Citations2
Published2021
Admission routes2
Has abstractyes

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