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Record W4214840672 · doi:10.1007/s40152-021-00255-w

Neo-liberal or not? Creeping enclosures and openings in the making of fisheries governance

2022· article· en· W4214840672 on OpenAlexafffundabout
Courtenay E. Parlee, Paul Foley

Bibliographic record

VenueMAST. Maritime studies/Maritime studies · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsFisheries and Oceans CanadaMemorial University of Newfoundland
FundersCanada First Research Excellence FundOcean Frontier Institute
KeywordsGovernmentalityCorporate governanceCommodificationCommonsSociologyAgency (philosophy)EmpowermentOverfishingEconomicsPolitical scienceSocial scienceLawEconomic growthEconomyFishingManagement

Abstract

fetched live from OpenAlex

Abstract Neo-liberalism can mean different things from different perspectives. Social scientists tend to use the concept to identify and critique trends of privatization, marketization, commodification and enclosures, and their associated slew of exclusionary, dispossessive, and regressive effects. Counterintuitively, governmentality analyses identify how practices of collaboration, inclusion, participation, and empowerment—practices sometimes cited as means to resist and generate alternatives to neo-liberalism—are not only consistent with neo-liberal governing but also central to its functioning. This paper engages a biopolitics and governmentality analytical perspective to examine different kinds of fisheries policies in Newfoundland and Labrador (NL), Canada, where the historic cod collapse created a laboratory for examining social-ecological effects of capitalist overexploitation, resource mismanagement, and knowledge system blind spots. The case is useful because it includes, on the one hand, practices traditionally seen as reinforcing neo-liberal governance, such as property making, resource management access rationalization, and global eco-labels, and, on the other hand, practices where linkages to neo-liberalism require more critical assessment, such as fisher-influenced professionalization policies, license collaboration/consolidation initiatives, and producer-oriented eco-labels. Drawing on a governmentality perspective, this paper examines how governance change in NL fisheries is driven not by a single regulatory logic but, rather, by diverse “technologies of government” and “technologies of agency.” Diverse technologies of agency, with varying degrees of links to neo-liberalism, facilitate “creeping” enclosures and openings for fish harvesters in NL fisheries. The paper finds that multi-faceted social protection and coastal community-oriented rationalities of fisher groups are key explanatory variables in shaping practices for and against neo-liberal governance, suggesting that the relationship of diverse neo-liberal, moral economy and hybrid governmentalities to lived experiences requires more empirical and theoretical attention.

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.096
Scholarly communication0.0100.007
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.299
Teacher spread0.250 · 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 designQualitative
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

Citations5
Published2022
Admission routes3
Has abstractyes

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