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Record W2986354104 · doi:10.1111/awr.12179

Working on Water: Introduction

2019· article· en· W2986354104 on OpenAlex
Sharon R. Roseman

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

VenueAnthropology of Work Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsWatercraftTourismWork (physics)EthnographyMultidisciplinary approachMobilitiesSpecial sectionFocus (optics)SociologyEnvironmental planningEngineeringGeographySocial scienceArchaeologyMarine engineeringAnthropologyMechanical engineering

Abstract

fetched live from OpenAlex

Abstract This special issue focuses on the work lives of individuals with jobs that take place on and around boats. This introduction to the special issue “Working on Water” provides an overview of the long history of anthropological research on forms of human work that take place in and around salt and fresh bodies of water, such as food harvesting, watercraft construction, and transportation. It also discusses links between the multidisciplinary “mobilities turn” and research on aquamobilities. The last section introduces the ethnographic papers included in this issue of the journal, which focus on various sectors, including seafood harvesting, coastal tourism, passenger and vehicle ferries, and cargo transportation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.993

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)0.0080.001

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 head0.307
Teacher spread0.292 · 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