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Record W4408816577 · doi:10.5194/oos2025-432

Fostering inclusion and equity in ocean sustainability through knowledge co-construction

2025· preprint· en· W4408816577 on OpenAlexaff
Gerald G. Singh, Nancy Karigitu, Leopoldo Cavaleri Gerhardinger, Frank Mirobo, Laura Pereira, Samiya Ahmed Selim, Anna Zivian, Heloise Jean

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSustainabilityEquity (law)Inclusion (mineral)BusinessEnvironmental economicsNatural resource economicsEnvironmental scienceEconomicsPolitical scienceSociologySocial scienceEcology

Abstract

fetched live from OpenAlex

Ocean science plays a critical role in decision-making processes with distributional effects, which inherently carry equity implications. At the same time, concerns about equity shape how ocean science is conducted, influencing which scientific questions are prioritized. Expanding participation in setting research agendas through inclusive processes can significantly alter the trajectory of ocean science. Recent initiatives promoting "ocean knowledge co-production" in transdisciplinary research are grounded in this idea, emphasizing the involvement of decision-makers and coastal communities in determining scientific priorities. Such inclusivity enhances the relevance of research for policy needs and strengthens community trust by increasing the legitimacy of scientific endeavors. However, co-production is not a one-size-fits-all solution. There are multiple models of co-production, with varying degrees of inclusion, equitability, and effectiveness, and some may even backfire if not implemented carefully. The emerging International Platform for Ocean Sustainability (IPOS) aims to integrate co-production into its operational framework, with the goal of producing actionable, community-relevant research to strengthen ocean knowledge-policy interfaces. We present the findings from our multi-pronged attempts at defining and piloting inclusive and equitable co-production processes within the context of the IPOS framework. This includes: 1) Key design features elicited during dedicated workshops with marine social scientists and practitioners; 2) The "IPOS Handbook for Best Practices Implementation."; 3) Outcomes from a Towards IPOS Pilot Project in co-leadership with Indigenous Peoples and Local Communities (IP&LC). Insights from these experiences point towards the need for a clear, principled, and consistent engagement with researchers, practitioners, and historically marginalized ocean communities from the Global South. For IPOS to successfully contribute to ocean sustainability, it must ensure that co-production processes are not only inclusive but also equitable and capable of addressing the needs of coastal communities. Therefore, the adoption of an human rights-based approach to ocean sustainability by IPOS will be crucial for making co-production effective and ensuring the success of the platform's work.

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 categoriesMeta-epidemiology (narrow), Open science
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 score0.539
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.044
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.360
Teacher spread0.303 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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