Making ocean literacy inclusive and accessible
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.007 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it