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Record W4256705136 · doi:10.1177/1946756714533207

Global Brain and the Future of Human Society

2014· article· en· W4256705136 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorld Futures Review · 2014
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsOntario Brain Institute
Fundersnot available
KeywordsConstructiveContext (archaeology)Multidisciplinary approachPolitical scienceHuman systems engineeringCorporate governanceSociologyManagement scienceCognitive scienceEpistemologyPsychologySocial scienceComputer scienceEconomicsManagementProcess (computing)

Abstract

fetched live from OpenAlex

The Global Brain is a leading hypothesis explaining the current evolution of the human system. Recent multidisciplinary research at the Global Brain Institute has laid a potential framework for thinking about the future of human society within the context of the emergence of a global brain this century. In this article, I outline the theory of challenge propagation and explain how this theory can help us formulate an empirical understanding of the future of individual and collective human experience with a global brain. This includes a prescriptive and predictive analysis of the future of governance and religion. The article invites discussion as well as critical and constructive feedback as its sole purpose is to stimulate a decentralized discussion that will help us all better understand the future of human organization in the twenty-first century.

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)0.007
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.061
GPT teacher head0.407
Teacher spread0.345 · 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