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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 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

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.

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 score0.764
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
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