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Record W4200532308 · doi:10.1007/s40152-021-00253-y

Proximity politics in changing oceans

2021· article· en· W4200532308 on OpenAlexafffundabout
Paul Foley

Bibliographic record

VenueMAST. Maritime studies/Maritime studies · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsMemorial University of Newfoundland
FundersCanada First Research Excellence FundDepartment of Fisheries and Aquaculture, Government of Newfoundland and Labrador
KeywordsPoliticsClosenessSustainabilityCorporate governancePolitical scienceEquity (law)MobilitiesState (computer science)Environmental governanceSociologyEnvironmental resource managementLawBusinessSocial scienceEconomicsEcology

Abstract

fetched live from OpenAlex

Abstract How will ocean governance actors and institutions handle a future where the abundance and spatial distribution of marine life changes rapidly and variably? The answer, this paper argues, will be influenced by inherited and changing ocean proximity politics , whereby institutions and actors use spatial proximity or adjacency to legitimize particular forms of resource control, conservation and use. Focusing on United Nations and Canadian institutional contexts and recognizing state and non-state actors as agents of policy change, the paper documents and examines why and how spatial proximity has been invoked (i) as a principle for claiming, defining and implementing use rights, privileges and responsibilities for not just nation-states but also for other entities such as coastal communities and small-scale fisheries; (ii) to justify and legitimize rights, privileges and responsibilities for their interest and benefit; and (iii) to inform and challenge global and local discussions about principles such as conservation, sustainability and distributive equity. The future practical use of spatial closeness/distance for guiding policies of access and exclusion under conditions of change will likely be influenced by challenges associated with applying multiple and conflicting governance principles, accommodating diverse interests and interpretations of principle definition and application, and multiple forms of biophysical and social mobilities. The conclusion highlights four areas of further research and policy engagement for the study of ocean proximity politics.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.015
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.267
Teacher spread0.242 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2021
Admission routes3
Has abstractyes

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