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Record W7018163000

Convergence and Disjuncture in Global Digital Culture

2017· article· en· W7018163000 on OpenAlexaboutno aff

Bibliographic record

VenueScholarlyCommons (University of Pennsylvania) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGlobalization and political ideologies
Canadian institutionsnot available
Fundersnot available
KeywordsConvergence (economics)Cultural globalizationGlobal SouthGlobalizationExpression (computer science)Quarter (Canadian coin)Key (lock)Cultural diversityDigital economy
DOInot available

Abstract

fetched live from OpenAlex

The question “Is there a global culture?” fueled heated debates in the 1980s and 1990s, when intellectual opponents grappled with the sociopolitical and cultural consequences of globalization. Deploying notions of dependency, imperialism, homogenization, and hybridization, dueling thinkers espoused rival scenarios of cultural domination, mixture, and resistance. A quarter century later, with the explosion of digital expression around the world, it is time to revisit the debate and ask: Is there a global digital culture?

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)0.008
metaresearch head score (Gemma)0.016
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: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.005
Science and technology studies0.0060.037
Scholarly communication0.0200.019
Open science0.0010.018
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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