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Record W4383875563 · doi:10.1080/17530350.2023.2225513

Digitizing <i>other</i> markets: lessons from the Bush Internet of Island Melanesia

2023· article· en· W4383875563 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Cultural Economy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaFondation de France
KeywordsThe InternetPolitical scienceMedia studiesEconomyGeographySociologyEconomicsWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

Digital markets are regularly equated with digital capitalism. However, markets are also central features of longstanding other economic systems, such as the bush markets of Malaita, Solomon Islands, where saltwater and bush people have traded with each other for at least seven hundred years, if not longer. This article interrogates the digitization of this bush market system based on classically-conceived long-term ethnographic fieldwork that aims to develop a better empirical understanding of possibilities for diverse economic systems and markets in the digital age. We identify continuities between Solomon Islands-centric Facebook ‘buy and sell’ groups and bush markets and demonstrate how these continuities strengthen other economic systems and values in the country. Despite their avid use of Facebook, Solomon Islanders are able to resist the industrial-capitalism embedded in platform design and to reaffirm social networks and a broader reciprocal moral economy.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.281
Teacher spread0.254 · 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