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Record W3023379369 · doi:10.1080/17516234.2020.1749340

Technological innovation and building a ‘super smart’ society: Japan’s vision of society 5.0

2020· article· en· W3023379369 on OpenAlexaff
Carin Holroyd

Bibliographic record

VenueJournal of Asian Public Policy · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicUniversity-Industry-Government Innovation Models
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCommercializationSophisticationGovernment (linguistics)HumanityPlan (archaeology)Political scienceEconomic growthManagementBusinessSociologyEconomicsMarketingSocial science

Abstract

fetched live from OpenAlex

The Government of Japan is pursuing an ambitious policy programme, Society 5.0, designed to respond to the formidable economic and social challenges facing Japan and the world, capitalize on Japanese technological sophistication and commercialization abilities, and provide a coordinated, forward-looking strategy that could ensure Japan’s leadership in the technological revolution. Society 5.0 is the label attached to a vision of ‘whole of government, business and academia’ plan to integrate new technological systems across various fields to the benefit of humanity. This paper explores the conceptual background, rationale, policies and programmes Japan has enacted in pursuit of this vision.

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)0.004
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.016
Scholarly communication0.0090.008
Open science0.0010.005
Research integrity0.0050.004
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 head0.031
GPT teacher head0.254
Teacher spread0.223 · 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 designTheoretical or conceptual
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

Citations173
Published2020
Admission routes1
Has abstractyes

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