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Record W4407177435 · doi:10.11647/obp.0409.00

Harvesting the Sea in Southeastern Arabia

2025· book-chapter· en· W4407177435 on OpenAlex
Janet C. E. Watson, Erik Anonby, Miranda J. Morris

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.

Bibliographic record

VenueCambridge semitic languages and cultures · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsCarleton University
Fundersnot available
KeywordsGeographyOceanographyGeology

Abstract

fetched live from OpenAlex

The Arabian Peninsula has long been home to peoples subsisting where often-inhospitable coasts meet the historically rich and productive marine ecosystems. This chapter introduces the first volume of Harvesting the Sea, a collection of studies on three main regions of southern and eastern Arabia: the Musandam Peninsula, Dhofar and al-Mahrah, and the island of Soqotra. The authors set out the purpose and scope of the work – exploring and reflecting on traditional maritime livelihoods of the region through oral literature, traditional scientific knowledge, and ocean-related resources and activities. They show how these studies fit within the literature on the endangered Kumzari and Modern South Arabian languages (MSAL) and their distinctive cultures. An explanatory section on “translanguaging” helps situate complexities related to characteristic interactions among language communities of the region. The chapter concludes with an overview of data and information sources, along with explanations of phonological inventories and transcription conventions for the languages studied here.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.918
Threshold uncertainty score1.000

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 studies0.0000.000
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 head0.009
GPT teacher head0.275
Teacher spread0.266 · 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