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Record W3039146560 · doi:10.5209/mira.67537

Breve recorrido por el emprendimiento social en Japón: Del Japón pre-moderno hasta el Tōhoku post Fukushima

2020· article· es· W3039146560 on OpenAlexfundno aff
Mario Malo Sanz

Bibliographic record

VenueMirai Estudios Japoneses · 2020
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
FundersJST-Mirai ProgramQueen's UniversityQueen's University BelfastUniversity of CambridgeKanazawa UniversityUniversity of OxfordUniversity of MinnesotaPrinceton University
KeywordsHumanitiesHastaCartographyArtGeography

Abstract

fetched live from OpenAlex

The purpose of this article is to provide an analytical dimension to the social subject known as social entrepreneur, from pre-modern Japan to its new forms of development in the Tōhoku post Fukushima. We are talking about a figure, whose historical conformation we can observe intermittently in the pre-industrial Japan, reaching the modernity of the Meiji period, and whose structural regulations will change substantially after the First World War, to reach our days under different initiatives. The transformation of contextual dynamics at the socioeconomic and political level, together with the phenomenon of globalization, make the concept we use today to define this type of development proposal closely linked to the processes that occurred in Europe and the United States at the end of the 80s, and that it began to have some significance during the first decade of the XXI, reaching important quotas of social significance after the triple disaster of Fukushima in 2011.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.026
GPT teacher head0.270
Teacher spread0.244 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations3
Published2020
Admission routes1
Has abstractyes

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