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Record W3125513283 · doi:10.3354/esep00196

Making ocean literacy inclusive and accessible

2021· article· en· W3125513283 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEthics in Science and Environmental Politics · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsUniversity of AlbertaDalhousie University
FundersNatural Environment Research CouncilGlobal Challenges Research FundSight Research UKCanada First Research Excellence FundUK Research and InnovationOcean Frontier InstituteSociety for Conservation Biology
KeywordsLiteracyIndigenousPrivilege (computing)Variety (cybernetics)Citizen sciencePolitical sciencePublic relationsSociologyEcologyBiology

Abstract

fetched live from OpenAlex

Engagement in marine science has historically been the privilege of a small number of people with access to higher education, specialised equipment and research funding. Such constraints have often limited public engagement and may have slowed the uptake of ocean science into environmental policy. Recognition of this disconnect has spurred a growing movement to promote ocean literacy, defined as one’s individual understanding of how the ocean affects people and how people affect the ocean. Over the last 2 decades, this concept has gained significant traction in marine biology and environmental education circles and now plays a prominent role in the UN’s Decade of Ocean Science for Sustainable Development (2021-2030). Here, we argue that the ocean literacy agenda has largely been shaped and discussed by marine scientists and educators but needs to be expanded to a much larger constituency to be more effective, accessible and inclusive. We discuss diverse cultural settings from around the world and provide examples of indigenous, spiritual, art, ocean user and other groups that are already deeply engaged with the ocean and could provide a variety of perspectives to enrich the ocean literacy concept beyond an understanding of marine science. We suggest that such inclusiveness could remove the historic barriers that have surrounded the field, transform our collective awareness of and relationship with the ocean and help support ongoing efforts to restore marine biodiversity.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.910

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 studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.007
Research integrity0.0000.000
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 head0.029
GPT teacher head0.331
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