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Record W4409015104 · doi:10.26443/jiows.v8i2.186

The Living Sea: Conceptualising Narratives of Cultural Seascapes in the Eastern Cape of South Africa

2025· article· en· W4409015104 on OpenAlexvenueno aff
Jessica Leigh Thornton, Zanele Hartmann

Bibliographic record

VenueThe Journal of Indian Ocean World Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsCapeGeographyNarrativeEthnologyOceanographyHistoryArchaeologyArtGeology

Abstract

fetched live from OpenAlex

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.039
GPT teacher head0.312
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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