The Living Sea: Conceptualising Narratives of Cultural Seascapes in the Eastern Cape of South Africa
Bibliographic record
Abstract
The sea exerts a powerful influence over coastal communities, shaping their social and cultural landscapes through a variety of intricate and diverse interactions. While these connections highlight the ocean’s cultural value and its essential place in coastal lives, they are neither uniform nor equally distributed across communities. This article advocates for a broader recognition of these relationships within marine management frameworks, pressing for the inclusion of spiritual and well-being dimensions that are presently overlooked. This article draws on ethnographic research that we conducted from 2021 to 2022 along South Africa’s Eastern Cape coast, from Algoa Bay to East London. It delves into how people perceive and experience the ocean as integral to cultural identity and community well-being. Through twenty in-depth interviews, themes of spirituality, cultural expression, interconnectedness with nature, healing, and the sense of access and loss emerge as crucial aspects of these relationships. This article highlights how differing relationships and understandings of the ocean expose historical divides between communities and ongoing socio-economic disparities that affect access to the sea. These narratives underscore the ocean’s role in supporting health and well-being, affirming the need to incorporate such values into marine management policies.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.021 | 0.032 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".