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Record W4403792178 · doi:10.1177/13678779241292736

Global perspectives on platforms and cultural production

2024· article· en· W4403792178 on OpenAlexaff
Thomas Poell, Brooke Duffy, David B. Nieborg, Bruce Mutsvairo, Tommy Tse, Arturo Arriagada, Jeroen de Kloet, Ping Sun

Bibliographic record

VenueInternational Journal of Cultural Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Toronto
FundersUniversiteit van Amsterdam
KeywordsProduction (economics)Economic geographySociologyPolitical scienceGeographyEconomics

Abstract

fetched live from OpenAlex

Research on platforms and cultural production is dominated by studies that take the Anglo-American world and Northwestern Europe as their main points of reference. Central concepts in the field, consequently, bear the imprint of Western institutions, cultural practices, and ideals. Critically responding to this state of affairs, this opening essay of the special issue on Global Perspectives on Platforms and Cultural Production, consisting of 20 articles, aims to: 1) challenge universalism, 2) provincialize the US, and 3) multiply our frames of reference. Pursuing these objectives, we bring together ideas from postcolonial and decolonial theory and platform studies in a systematic research program. This global perspectives program allows us to: denaturalize and rethink dominant concepts and ideas through research from around the globe; explicitly thematize and examine the global power relations that structure platform economies; and critically interrogate the knowledge production about these economies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.019
Scholarly communication0.0130.016
Open science0.0010.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.081
GPT teacher head0.402
Teacher spread0.321 · 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 source (direct Gemma or distilled Codex), 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

Citations31
Published2024
Admission routes1
Has abstractyes

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