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Record W4408550575 · doi:10.1080/14649365.2025.2476507

Thinking from multiple oceans: historical and elemental lineages and futures of ocean geography(s)

2025· article· en· W4408550575 on OpenAlexfundno aff
Philip E. Steinberg

Bibliographic record

VenueSocial & Cultural Geography · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
FundersYork UniversityRoyal Geographical SocietyTulane University
KeywordsFutures contractHuman geographyGeographyEconomic geographyOceanographyGeologyEconomics

Abstract

fetched live from OpenAlex

This article considers how a tension in critical ocean geography between thinking with and thinking from the ocean can be elucidated through an engagement with a number of Black scholars asking related questions. Focusing on Herman Melville’s Moby-Dick and its interpretation by C.L.R. James and Paul Gilroy, as well as other scholars in the critical ocean geography/critical ocean studies and Black studies traditions, I suggest that a pervasive challenge to oceanic thinking is the need to balance, on the one hand, the tendency to think with the ocean’s perceived exceptionality as a scaffold for non-normative thinking with, on the other hand, the desire to think from the encounters that occur in ocean-space and that historically have played a crucial role in constructing identities and futures of peoples who bear the experience of the ocean’s watery depths and turbulence. I conclude by arguing for an approach that is both historical and elemental, in order to construct narratives that point to the ocean not simply as a repository of meaning or as a site for projecting dreams, but as a lively space where thoughts, understandings, and narrations emerge from the entanglements of water and life, forcings and histories, memories and forgettings, that occur within.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.298
Teacher spread0.284 · 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 designObservational
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

Citations3
Published2025
Admission routes1
Has abstractyes

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